River-crossing channel site selection evaluation method, system and device and readable storage medium

Abstract

The invention discloses a river-crossing channel site selection evaluation method, system and device and a readable storage medium, and relates to the technical field of river-crossing channel layout planning, and the method specifically comprises the steps: constructing evaluation indexes of a criterion layer and a sub-criterion layer based on factors affecting river-crossing channel site selection, constructing a scheme layer based on all to-be-evaluated river-crossing channel schemes, and constructing a sub-criterion layer based on all to-be-evaluated river-crossing channel site selection; constructing a target layer based on an optimal scheme corresponding to the to-be-evaluated river-crossing channel scheme so as to form a four-level evaluation index system; constructing a judgment matrix based on the importance degree of the evaluation indexes; calculating weights of all target evaluation indexes in the river-crossing channel scheme to be evaluated based on the judgment matrix, and calculating cloud parameters of the target evaluation indexes based on an expert scoring matrix corresponding to the target evaluation indexes; comprehensive cloud parameters are calculated based on the weights of the target evaluation indexes and the cloud parameters; and determining a target river-crossing channel scheme from all the river-crossing channel schemes to be evaluated based on the comprehensive cloud parameters. According to the invention, the scientificity and accuracy of the river-crossing channel site selection decision are improved.

Description

Technical Field

[0001] This application relates to the technical field of layout planning of river-crossing channels, and particularly relates to an evaluation method, system, device and readable storage medium for the site selection of river-crossing channels. Background Art

[0002] With the rapid development of regional economy, the river-crossing channels on the main line of the Yangtze River, as key transportation hubs, shoulder the important tasks of ensuring the flow of elements between the two banks and promoting regional integrated development. However, the current site selection decision-making of river-crossing channels faces challenges in many aspects, especially deficiencies in the planning research and demonstration links. The site selection decision-making of river-crossing channels usually relies on the demands put forward by local areas, lacking systematic analysis of the overall planning and feasibility in-depth research. This makes the decision-making at different stages affected by multiple factors such as policy orientation, natural conditions, economic level and technical conditions, resulting in differences in the influencing factors and their degrees of influence in the site selection decision-making at each stage.

[0003] In the preliminary research on the site selection of river-crossing channels, more attention is concentrated on the analysis of the construction conditions of a single river-crossing channel, while the general principles of the river-crossing channel system and its influencing factors within the whole region have not been effectively refined. In addition, due to different research focuses, there are inconsistencies in the selection of various indicators and the way of weight assignment, resulting in the lack of a unified standard and a scientific and effective evaluation system, thus severely restricting the promotion and implementation of the project.

[0004] Therefore, how to improve the scientificity and accuracy of the site selection decision-making of river-crossing channels is an urgent problem to be solved currently. Summary of the Invention

[0005] This application provides an evaluation method, system, device and readable storage medium for the site selection of river-crossing channels, which can improve the scientificity and accuracy of the site selection decision-making of river-crossing channels.

[0006] In the first aspect, an embodiment of this application provides an evaluation method for the site selection of river-crossing channels. The evaluation method for the site selection of river-crossing channels includes: Construct evaluation indicators of the criterion layer and sub-criterion layer based on the factors affecting the site selection of river-crossing channels, construct the scheme layer based on all the river-crossing channel schemes to be evaluated, and construct the target layer based on the optimal scheme corresponding to the river-crossing channel scheme to be evaluated, so as to form a four-level evaluation index system; Construct a judgment matrix based on the importance degree of the evaluation indicators; For each river-crossing channel scheme to be evaluated, calculate the weights of all target evaluation indicators in the river-crossing channel scheme to be evaluated based on the judgment matrix, and calculate the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators. The cloud parameters include the expected value, entropy value and hyper-entropy value; Calculate the comprehensive cloud parameter based on the weight and cloud parameter of the target evaluation indicator; Determine the target river-crossing channel plan from all the river-crossing channel plans to be evaluated based on the comprehensive cloud parameters.

[0007] Combined with the first aspect, in one implementation, calculating the weights of all target evaluation indicators in the river-crossing channel plans to be evaluated based on the judgment matrix includes: Perform normalization processing on the judgment matrix to obtain a normalized matrix; Sum the elements in each row of the normalized matrix, and perform normalization processing on the summation result to obtain the weights of all target evaluation indicators in the river-crossing channel plans to be evaluated.

[0008] Combined with the first aspect, in one implementation, after the step of calculating the weights of all target evaluation indicators in the river-crossing channel plans to be evaluated based on the judgment matrix, it further includes: Calculate the maximum eigenvalue of the judgment matrix; Determine the consistency ratio based on the matrix order, the maximum eigenvalue, and a preset random consistency index; If the consistency ratio is less than the preset ratio threshold, it is determined that the consistency test passes; If the consistency ratio is not less than the preset ratio threshold, it is determined that the consistency test fails and the step of constructing the judgment matrix based on the importance degree of the evaluation indicators is re-executed.

[0009] Combined with the first aspect, in one implementation, calculating the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators includes: Calculate the target expected value and target variance based on the scores in the expert scoring matrix corresponding to the target evaluation indicators; Determine the cloud parameters of the target evaluation indicators based on the expert scoring matrix, the target expected value, and the target variance.

[0010] Combined with the first aspect, in one implementation, calculating the comprehensive cloud parameters based on the weights and cloud parameters of the target evaluation indicators includes: Substitute the weights and cloud parameters of the target evaluation indicators into the following calculation formula to obtain the comprehensive cloud parameters. The calculation formula is as follows:

[0011]

[0012]

[0013] In the formula, is the weight of the j-th target evaluation indicator, and n is the number of target evaluation indicators; is the expected value of the j-th target evaluation indicator; is the entropy value of the j-th target evaluation index; is the hyper-entropy value of the j-th target evaluation index; is the expected value of the comprehensive cloud parameter; is the entropy value of the comprehensive cloud parameter; is the hyper-entropy value of the comprehensive cloud parameter.

[0014] Combined with the first aspect, in one embodiment, determining the target river-crossing channel plan from all the river-crossing channel plans to be evaluated based on the comprehensive cloud parameter includes: When it is detected that there is only one maximum expected value, the river-crossing channel plan to be evaluated corresponding to the comprehensive cloud parameter with the maximum expected value is used as the target river-crossing channel plan; When it is detected that there are at least two identical maximum expected values and there is only one minimum entropy value, the river-crossing channel plan to be evaluated corresponding to the comprehensive cloud parameter with the minimum entropy value is used as the target river-crossing channel plan; When it is detected that there are at least two identical maximum expected values and at least two identical minimum entropy values, the river-crossing channel plan to be evaluated corresponding to the comprehensive cloud parameter with the minimum hyper-entropy value is used as the target river-crossing channel plan.

[0015] Combined with the first aspect, in one embodiment, the factors affecting the location selection of the river-crossing channel include at least one of river channel conditions, flood control, hydraulic shoreline, waterway conditions, natural conditions, environmental impacts, and other conditions; Among them, the river channel conditions include at least one of river channel shape and river regime evolution; The flood control includes at least one of the river section dikes, flood discharge cross-section, and river regulation projects; The hydraulic shoreline includes at least one of port terminals, anchorages, shipbuilding berths, and water intake and drainage outlets; The waterway conditions include at least one of waterway maintenance scale, navigation scale, and waterway regulation projects; The natural conditions include at least one of topography and geomorphology, meteorological conditions, geological conditions, hydrological conditions, and field earthquakes; The environmental impacts include at least one of nature reserves, drinking water source protection areas, cultural relics protection, mineral overburden, and military facilities; The other conditions include at least one of oil and gas pipelines, high-voltage iron towers, aviation height limits, and adjacent water structures.

[0016] In a second aspect, an embodiment of the present application provides an evaluation system for the location selection of a river-crossing channel, and the evaluation system for the location selection of the river-crossing channel includes: The first processing module is used to construct evaluation indicators of the criterion layer and sub-criterion layer based on the factors affecting the location selection of the river-crossing channel, construct the scheme layer based on all the river-crossing channel schemes to be evaluated, and construct the target layer based on the optimal scheme corresponding to the river-crossing channel scheme to be evaluated, so as to form a four-level evaluation index system; The second processing module is used to construct a judgment matrix based on the importance degree of the evaluation indicators; The third processing module is used to calculate the weights of all target evaluation indicators in the river-crossing channel scheme to be evaluated based on the judgment matrix for each river-crossing channel scheme to be evaluated, and calculate the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators, where the cloud parameters include the expected value, entropy value, and hyper-entropy value; The fourth processing module is used to calculate the comprehensive cloud parameters based on the weights and cloud parameters of the target evaluation indicators; The fifth processing module is used to determine the target river-crossing channel scheme from all the river-crossing channel schemes to be evaluated based on the comprehensive cloud parameters.

[0017] In a third aspect, an embodiment of the present application provides an evaluation device for the location selection of a river-crossing channel. The evaluation device for the location selection of a river-crossing channel includes a processor, a memory, and an evaluation program for the location selection of a river-crossing channel stored on the memory and executable by the processor. When the evaluation program for the location selection of a river-crossing channel is executed by the processor, the steps of the evaluation method for the location selection of a river-crossing channel as described in any one of the foregoing are implemented.

[0018] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which an evaluation program for the location selection of a river-crossing channel is stored. When the evaluation program for the location selection of a river-crossing channel is executed by a processor, the steps of the evaluation method for the location selection of a river-crossing channel as described in any one of the foregoing are implemented.

[0019] The beneficial effects brought by the technical solutions provided by the embodiments of the present application include: Construct evaluation indicators for the criterion layer and sub-criterion layer by factors affecting the location selection of the river-crossing channel, construct the scheme layer based on all river-crossing channel schemes to be evaluated, and construct the target layer based on the optimal scheme corresponding to the river-crossing channel scheme to be evaluated, so as to form a four-level evaluation index system, thereby comprehensively covering the key factors required for the location decision-making; construct a judgment matrix based on the importance degree of the evaluation indicators, and calculate the weights of all target evaluation indicators in the river-crossing channel scheme to be evaluated based on the judgment matrix, further ensuring the importance and quantifiability of each factor in the decision-making, and calculate the cloud parameters of the target evaluation indicators including the expected value, entropy value and hyper-entropy value based on the expert scoring matrix corresponding to the target evaluation indicators, thereby quantifying the specific impact of each evaluation indicator; calculate the comprehensive cloud parameter based on the weight and cloud parameter of the target evaluation indicator, and determine the target river-crossing channel scheme from all river-crossing channel schemes to be evaluated based on the comprehensive cloud parameter. Through the present application, various factors affecting the location selection of the river-crossing channel and their weights can be accurately identified, avoiding decision-making errors caused by subjective deviation or insufficient data in the traditional location selection process, thereby effectively improving the scientificity and accuracy of the river-crossing channel location selection. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic flowchart of an embodiment of the evaluation method for the location selection of the river-crossing channel of the present application; Figure 2 It is a schematic diagram of the four-level evaluation index system in the evaluation method for the location selection of the river-crossing channel of the present application; Figure 3 It is a schematic diagram of the comprehensive evaluation cloud map of the river-crossing channel scheme to be evaluated in the evaluation method for the location selection of the river-crossing channel of the present application; Figure 4 It is a schematic diagram of the functional modules of an embodiment of the evaluation system for the location selection of the river-crossing channel of the present application; Figure 5 It is a schematic diagram of the hardware structure of the evaluation device for the location selection of the river-crossing channel involved in the embodiment scheme of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0022] To make the purpose, technical solution and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the drawings.

[0023] In a first aspect, an embodiment of the present application provides an evaluation method for the location selection of a cross-river channel.

[0024] In one embodiment, with reference to Figure 1 , Figure 1 is a schematic flow chart of an embodiment of the evaluation method for the location selection of a cross-river channel in the present application. As Figure 1 shown, the evaluation method for the location selection of a cross-river channel includes: Step S10: Construct evaluation indicators for the criterion layer and sub-criterion layer based on the factors affecting the location selection of the cross-river channel, construct a scheme layer based on all cross-river channel schemes to be evaluated, and construct a target layer based on the optimal scheme corresponding to the cross-river channel scheme to be evaluated, so as to form a four-level evaluation index system.

[0025] Exemplarily, in the embodiment of the present application, the four-level evaluation index system includes a target layer, a sub-criterion layer, a criterion layer, and a scheme layer. With reference to Figure 2 shown, when constructing the four-level evaluation index system for the location selection of a cross-river channel, first, the evaluation indicators for the criterion layer and sub-criterion layer can be constructed by analyzing the key factors affecting the location selection. Among them, the criterion layer represents the main influencing factors for the location selection decision, namely, natural conditions, river channel conditions, waterway conditions, flood control, hydraulic shoreline, environmental impact, and other conditions, a total of 7 categories, while the sub-criterion layer is refined into specific evaluation dimensions, namely, river channel shape, river regime evolution, river section dike, flood discharge section, river regulation project, port terminal, anchorage, shipbuilding berth and slipway, and water intake and drainage outlet, waterway maintenance scale, navigation scale, waterway regulation project, topography and geomorphology, meteorological conditions, geological conditions, hydrological conditions, field area earthquake, nature reserve, drinking water source protection area, cultural relics protection, mineral overburden, military facilities, oil and gas pipeline, high-voltage iron tower, aviation height limit, adjacent water structures, a total of 26 small influence indicators; it should be noted that the above is only the presentation of the embodiment, and the indicators and parameters in the criterion layer and sub-criterion layer can be adjusted adaptively according to actual needs.

[0026] In addition, a scheme layer is constructed according to each cross-river channel scheme to be evaluated, and each scheme corresponds to different implementation modes, design schemes, technical routes, etc.; according to the cross-river channel schemes to be evaluated, it can be known that the embodiments of the present application are related to the evaluation of cross-river channel schemes and the goal is to select an optimal cross-river channel scheme, so the goal layer is determined. The construction of the goal layer is the basis of the analytic hierarchy process, which provides a clear framework and goal for subsequent decision-making and evaluation, and helps decision-makers sort out the relationships between various influencing factors through a scientific hierarchical structure, ensuring the scientificity and rationality of the final decision. It should be understood that the various levels in the AHP (Analytic Hierarchy Process) are interdependent. The criterion layer and sub-criterion layer provide a comprehensive evaluation framework, the scheme layer shows the specific implementation schemes, and the goal layer clarifies the goal type of the scheme to be evaluated. Through the above four-level index system, each scheme can be systematically and scientifically evaluated.

[0027] Step S20: Construct a judgment matrix based on the importance degree of evaluation indexes.

[0028] Exemplarily, in the embodiments of the present application, the process of constructing the judgment matrix needs to clarify the type of cross-river channel scheme to be evaluated, so that analysis and evaluation can be carried out under multiple indexes according to different construction types and operation characteristics; then, the judgment matrix is constructed by analyzing the importance degree of each index in the criterion layer relative to the goal layer and the importance degree of each index in the sub-criterion layer relative to the criterion layer. Specifically, it can be assumed that the expression of the judgment matrix A constructed based on the importance degree of each index in the sub-criterion layer relative to the criterion layer is:

[0029] where, represents the importance degree of the i-th index in the sub-criterion layer relative to the j-th index in the criterion layer. It should be noted that in the judgment matrix, different evaluation indexes can be compared based on the experience and knowledge of experts or decision-makers, and the 1-9 scale method is used to analyze the importance degree of different evaluation indexes. The above process systematically processes complex evaluation problems through a hierarchical structure and can provide effective support for the final decision-making; among them, the principle and method of the 1-9 scale method are common knowledge in the art and will not be elaborated here for the sake of brevity.

[0030] Step S30: For each cross-river channel scheme to be evaluated, calculate the weights of all target evaluation indexes in the cross-river channel scheme to be evaluated based on the judgment matrix, and calculate the cloud parameters of the target evaluation indexes based on the expert scoring matrix corresponding to the target evaluation indexes. The cloud parameters include expected value, entropy value and hyper-entropy value.

[0031] Exemplarily, in the embodiments of the present application, the cloud model is a qualitative-to-quantitative conversion method widely used in fuzzy systems and uncertainty analysis. It maps qualitative concepts to quantitative intervals by randomly generating cloud droplets, thereby modeling and analyzing uncertainty. In the cloud model, the three parameters of expected value Ex, entropy value En, and hyperentropy value He constitute the cloud parameters, which are the core features of the cloud model, describe the overall characteristics of qualitative concepts, and can quantify and characterize the randomness and uncertainty of the system. The expert scoring matrix refers to the matrix formed by experts scoring the cross-river channel schemes to be evaluated during the decision-making process. The experts can be independent reviewers, members of the expert group, or professionals in different fields, etc. Suppose there are k experts and n evaluation indicators, that is, the dimension of the expert scoring matrix is k×n (i.e., k rows and n columns). Each row corresponds to the score of an expert, each column corresponds to an evaluation indicator, and each element represents the score of a certain expert for a certain evaluation indicator.

[0032] Specifically, when evaluating the cross-river channel scheme to be evaluated, the weights of all target evaluation indicators can be obtained by normalizing and summing the judgment matrix, and then the cloud parameters of the target evaluation indicators can be further calculated by calculating the mean and variance of the expert scoring matrix. The cloud parameters include the expected value, entropy value, and hyperentropy value. Among them, the expected value reflects the average level of the target evaluation indicator, the entropy value measures the uncertainty of the target evaluation indicator, and the hyperentropy value represents the degree of dispersion of the evaluation results. Through the comprehensive analysis of the cloud parameters, the characteristics of the target evaluation indicators can be quantified more accurately, providing a scientific basis for the optimization of the cross-river channel scheme.

[0033] Step S40: Calculate the comprehensive cloud parameter based on the weights and cloud parameters of the target evaluation indicators.

[0034] Exemplarily, in the embodiments of the present application, the cloud parameters of the target evaluation indicators can be used to quantitatively analyze the performance of each evaluation indicator in an uncertain and fuzzy environment, and then the comprehensive cloud parameter can be obtained through the weighted calculation of the weights of the target evaluation indicators and the cloud parameters of the target evaluation indicators. The comprehensive cloud parameter represents the overall evaluation result after considering the weights and uncertainties of each evaluation indicator. Through the calculation of the comprehensive cloud parameter, the above process can provide a more comprehensive and objective evaluation result when facing complex and changeable decision-making problems, thus supporting more scientific decision-making.

[0035] Step S50: Determine the target cross-river channel scheme from all the cross-river channel schemes to be evaluated based on the comprehensive cloud parameter.

[0036] Exemplarily, in the embodiments of the present application, the comprehensive cloud parameters also include the expected value, entropy value, and hyper-entropy value. The expected value in the comprehensive cloud parameters reflects the average scoring level of each cross-river channel scheme to be evaluated, the entropy value in the comprehensive cloud parameters indicates the uncertainty of the scoring of the cross-river channel scheme to be evaluated, and the hyper-entropy value in the comprehensive cloud parameters measures the dispersion degree of the scoring of the cross-river channel scheme to be evaluated; the optimal cross-river channel scheme is selected as the target cross-river channel scheme by comparing the magnitude relationships of the expected value, entropy value, and hyper-entropy value in the comprehensive cloud parameters of all cross-river channel schemes to be evaluated. Through the analysis of the comprehensive cloud parameters in the above process, the subjective evaluation of experts is effectively transformed into a systematic and objective decision-making basis, thereby ensuring that the selected scheme has high scientificity and rationality.

[0037] In the present application, evaluation indicators of the criterion layer and sub-criterion layer are constructed based on the factors affecting the location of the cross-river channel, a scheme layer is constructed based on all cross-river channel schemes to be evaluated, and a target layer is constructed based on the optimal scheme corresponding to the cross-river channel scheme to be evaluated to form a four-level evaluation index system, so as to comprehensively cover the key factors required for the location decision; a judgment matrix is constructed based on the importance degree of the evaluation indicators; and the weights of all target evaluation indicators in the cross-river channel scheme to be evaluated are calculated based on the judgment matrix, further ensuring the importance and quantifiability of each factor in the decision-making, and the cloud parameters of the target evaluation indicators including the expected value, entropy value, and hyper-entropy value are calculated based on the expert scoring matrix corresponding to the target evaluation indicators, thereby quantifying the specific influence of each evaluation indicator; the comprehensive cloud parameters are calculated based on the weights and cloud parameters of the target evaluation indicators; and the target cross-river channel scheme is determined from all cross-river channel schemes to be evaluated based on the comprehensive cloud parameters. Through the present application, various factors affecting the location of the cross-river channel and their weights can be accurately identified, avoiding decision-making errors caused by subjective biases or insufficient data in the traditional location process, thereby effectively improving the scientificity and accuracy of the cross-river channel location.

[0038] Further, in one embodiment, the calculating the weights of all target evaluation indicators in the cross-river channel scheme to be evaluated based on the judgment matrix includes: Performing normalization processing on the judgment matrix to obtain a normalized matrix; Performing a summation processing on the elements in each row of the normalized matrix, and performing normalization processing on the result of the summation processing to obtain the weights of all target evaluation indicators in the cross-river channel scheme to be evaluated.

[0039] Exemplarily, in the embodiments of the present application, each element in the judgment matrix is respectively divided by the sum of all elements, so that the sum of the elements in each row and each column is 1, thereby obtaining a normalized matrix; specifically, substituting the judgment matrix into the following calculation formula to obtain the normalized matrix, and the calculation formula is:

[0040] In the formula, represents the value of the i-th row and j-th column of the judgment matrix A; is the value of the i-th row and j-th column of the normalized matrix; after obtaining the normalized matrix, sum the elements of each row in the normalized matrix, and the summation formula is:

[0041] In the formula, is the result of the summation process; then perform a normalization process on the summation result to obtain the weights of all target evaluation indicators in the to-be-evaluated river-crossing channel scheme. The calculation formula for the normalization process is as follows:

[0042] In the formula, represents the weight of the i-th target evaluation indicator, and n is the number of target evaluation indicators.

[0043] It should be understood that through the above steps, the information in the original judgment matrix can be converted into the weights of the target evaluation indicators shown in Table 1, providing a quantitative basis for subsequent decision-making, so as to realize the objective evaluation and comparison of each river-crossing channel scheme.

[0044] Table 1 Weights of All Target Evaluation Indicators

[0045] Among them, referring to Table 1, the weight of the natural conditions B1 in the criterion layer relative to the target layer is 9.234%, and the weight of the topography and geomorphology C1 in the sub-criterion layer relative to the natural conditions B1 in the criterion layer is 28.618%; among them, the final weight of the topography and geomorphology C1, 2.643%, refers to the weight of the topography and geomorphology C1 relative to the target layer.

[0046] Further, in one embodiment, after the step of calculating the weights of all target evaluation indicators in the to-be-evaluated river-crossing channel scheme based on the judgment matrix, it further includes: Calculate the maximum eigenvalue of the judgment matrix; Determine the consistency ratio based on the matrix order, the maximum eigenvalue, and a preset random consistency index; If the consistency ratio is less than the preset ratio threshold, it is determined that the consistency test passes; If the consistency ratio is not less than the preset ratio threshold, it is determined that the consistency test fails and the step of constructing the judgment matrix based on the importance degree of the evaluation indicators is re-executed.

[0047] Exemplarily, in the embodiments of the present application, the specific value of the preset ratio threshold can be determined according to actual needs and is not limited herein. For example, the preset ratio threshold can preferably be taken as 0.1; the specific value of the preset random consistency index can be determined according to actual needs and is not limited herein. For example, the value can preferably be taken with reference to Table 2 shown below.

[0048] Table 2 RI Value Table

[0049] It should be noted that, as shown in Table 2, when the matrix order n is 1, the corresponding random consistency index RI is 0; when the matrix order n is 3, the corresponding random consistency index RI is 0.58. In this embodiment, the consistency of the judgment matrix is checked by the eigenvalue method to ensure the reliability and accuracy of the evaluation results, so as to provide effective support for decision-making analysis. Specifically, first, the maximum eigenvalue of the judgment matrix can be calculated. Among them, the calculation formula for the maximum eigenvalue is as follows:

[0050] In the formula, n is the matrix order; A is the judgment matrix; represents the weight of the i-th target evaluation index; represents the maximum eigenvalue of the judgment matrix; then, according to the matrix order, the maximum eigenvalue, and the preset random consistency index, the consistency ratio is calculated to determine the consistency of the judgment matrix according to the consistency ratio. Specifically, substituting the matrix order and the maximum eigenvalue into the following calculation formula to obtain the consistency index. The calculation formula is:

[0051] In the formula, CI is the consistency index; then, substituting the consistency index and the preset random consistency index into the following calculation formula to obtain the consistency ratio. The calculation formula is:

[0052] In the formula, RI is the preset random consistency index; CR is the consistency ratio. Among them, when the consistency ratio CR < the preset ratio threshold 0.1, it indicates that there is a high consistency between each element of the judgment matrix, that is, the judgments of experts or decision-makers in evaluating the relative importance of each evaluation index are coordinated and logically self-consistent, then it is determined that the consistency test passes; when the consistency ratio CR ≥ the preset ratio threshold 0.1, it indicates that there is a large inconsistency between each element of the judgment matrix, which may be due to subjective biases or contradictions in the subjective judgments of experts or decision-makers during the evaluation process. Then it is determined that the consistency test fails, and the judgment matrix needs to be reconstructed and the consistency verification continues until the consistency test passes, ensuring the rationality of each judgment in the evaluation process and avoiding affecting the reliability of the final decision due to inconsistent judgments.

[0053] Further, in one embodiment, calculating the cloud parameters of the target evaluation index based on the expert scoring matrix corresponding to the target evaluation index includes: Calculating the target expected value and the target variance based on the scores in the expert scoring matrix corresponding to the target evaluation index; Determining the cloud parameters of the target evaluation index based on the expert scoring matrix, the target expected value, and the target variance.

[0054] Exemplarily, in the embodiments of the present application, the expected value reflects the overall evaluation trend of the target, while the variance reveals the degree of dispersion of the opinions of each expert. The target expected value and the target variance can be calculated by analyzing the scores in the expert scoring matrix corresponding to the evaluation index; specifically, substituting the expert scoring matrix into the following calculation formula to obtain the target expected value and the target variance, and the calculation formula is:

[0055]

[0056] In the formula, is the expert scoring matrix, and k is the number of experts; is the target expected value of the jth index; is the target variance of the jth index; then substituting the expert scoring matrix, the target expected value, and the target variance into the following calculation formula to obtain the cloud parameters of the target evaluation index, and the calculation formula is:

[0057]

[0058]

[0059] In the formula, is the expected value in the cloud parameters of the target evaluation index; is the entropy value in the cloud parameters of the target evaluation index; is the hyperentropy value in the cloud parameters of the target evaluation index.

[0060] Further, in one embodiment, calculating the comprehensive cloud parameters based on the weights and cloud parameters of the target evaluation index includes: Substituting the weights and cloud parameters of the target evaluation index into the following calculation formula to obtain the comprehensive cloud parameters, and the calculation formula is as follows:

[0061]

[0062]

[0063] Wherein, is the weight of the j-th target evaluation index, and n is the number of target evaluation indexes; is the expected value of the j-th target evaluation index; is the entropy value of the j-th target evaluation index; is the hyper-entropy value of the j-th target evaluation index; is the expected value of the comprehensive cloud parameter; is the entropy value of the comprehensive cloud parameter; is the hyper-entropy value of the comprehensive cloud parameter.

[0064] Exemplarily, in the embodiments of the present application, the comprehensive cloud parameter is obtained by weighted calculation of the weights of the target evaluation indexes and the cloud parameters, so that the evaluation and optimization of the cross-river channel scheme to be evaluated can be effectively carried out based on the comprehensive cloud parameter. Specifically, the weight of the j-th target evaluation index , the expected value of the j-th target evaluation index , the entropy value of the j-th target evaluation index , the hyper-entropy value of the j-th target evaluation index can be substituted into the following calculation formula to obtain the expected value of the comprehensive cloud parameter, the entropy value of the comprehensive cloud parameter, and the hyper-entropy value of the comprehensive cloud parameter:

[0065]

[0066] .

[0067] Further, in one embodiment, determining the target cross-river channel scheme from all the cross-river channel schemes to be evaluated based on the comprehensive cloud parameter includes: When it is detected that there is only one maximum expected value, the cross-river channel scheme to be evaluated corresponding to the comprehensive cloud parameter with the maximum expected value is used as the target cross-river channel scheme; When it is detected that there are at least two identical maximum expected values and there is only one minimum entropy value, the cross-river channel scheme to be evaluated corresponding to the comprehensive cloud parameter with the minimum entropy value is used as the target cross-river channel scheme; When it is detected that there are at least two identical maximum expected values and at least two identical minimum entropy values, the cross-river channel scheme to be evaluated corresponding to the comprehensive cloud parameter with the minimum hyper-entropy value is used as the target cross-river channel scheme.

[0068] Exemplarily, in the embodiments of the present application, among the comprehensive cloud parameters, the expected value describes the expected effect of the cross-river channel plan to be evaluated, which can be used as a standard for measuring the overall advantages and disadvantages of each plan. The higher the expected value, the more the plan meets the expected goal; the entropy value measures the uncertainty or ambiguity of the cross-river channel plan to be evaluated. The lower the entropy value, the more certain and reliable the effect of the plan; the hyper-entropy value reflects the degree of dispersion of the cross-river channel plan to be evaluated. The smaller the hyper-entropy value, the smaller the discreteness of the plan, that is, the better the plan effect.

[0069] Specifically, the target cross-river channel plan can be selected according to the calculated comprehensive cloud parameters. If there is only one maximum expected value among the cross-river channel plans to be evaluated, it means that the plan performs optimally and has significant advantages over other plans. Then directly select the plan corresponding to the comprehensive cloud parameter where the maximum expected value is located as the target cross-river channel plan; if there are two identical maximum expected values among the cross-river channel plans to be evaluated, at this time, the size of the entropy values corresponding to the comprehensive cloud parameters where the two identical maximum expected values are located can be compared for further judgment. If there is only one minimum entropy value, then select the plan corresponding to the comprehensive cloud parameter where the minimum entropy value is located as the target cross-river channel plan; if there are two identical maximum expected values and entropy values among the cross-river channel plans to be evaluated, then the hyper-entropy values corresponding to the comprehensive cloud parameters where the two identical maximum expected values and maximum entropy values are located can be compared for further judgment. At this time, the plan corresponding to the comprehensive cloud parameter where the minimum hyper-entropy value is located can be selected as the final target cross-river channel plan.

[0070] It should be noted that when selecting the optimal cross-river channel plan, the ideal plan should be the one with a high expected value, a low entropy value, and a low hyper-entropy value. Such a plan can provide a high expected effect, while maintaining low uncertainty and discreteness, ensuring the feasibility and stability of the plan implementation; therefore, in the process of plan selection, these three parameters need to be considered comprehensively to select an optimal plan that balances the expected effect and uncertainty.

[0071] It should be understood that when evaluating the cross-river channel plan based on the cloud parameters, the standard cloud parameters (such as Ex0, En0, He0) can be determined first, which are mainly used to reflect the performance of the evaluation object in different intervals (i.e., the universe of discourse) and their relative advantages and disadvantages. Specifically, in the embodiments of the present application, as shown in Table 3, the evaluation index can preferably be divided into 5 intervals on a percentile basis, and the standard cloud parameters can be obtained based on the following calculation formula. The calculation formula is:

[0072]

[0073]

[0074] In the formula: represents the upper limit value of the evaluation interval, represents the lower limit value of the evaluation interval; b represents the hyper-entropy standard value, and its specific value can be determined according to actual needs and is not limited here.

[0075] Table 3 Domain of discourse and standard cloud parameters

[0076] Among them, as shown in Table 3, when the domain of discourse is [0, 60), it means that the scheme is "inferior" and the corresponding standard cloud parameters are (35, 4.25, 0.3); when the domain of discourse is [90, 100], it means that the scheme is "superior" and the corresponding standard cloud parameters are (95, 25.48, 0.3). It should be noted that the above is only the presentation of the embodiment, and the specific upper and lower limit values of the domain of discourse can be adjusted adaptively according to actual needs.

[0077] Table 4 Cloud parameters corresponding to evaluation indicators and comprehensive cloud parameters

[0078] Among them, as shown in Table 4, when the evaluation indicator is meteorological conditions, the cloud parameters corresponding to Scheme I are (82.6, 1.90, 0.13), the cloud parameters corresponding to Scheme II are (82.2, 2.08, 0.13), and the cloud parameters corresponding to Scheme III are (81.4, 1.81, 0.28); the comprehensive cloud parameter of Scheme I is (82.6, 1.45, 0.12), the comprehensive cloud parameter of Scheme II is (71.3, 1.97, 0.16), and the comprehensive cloud parameter of Scheme III is (75.9, 1.80, 0.16). As shown in Table 3, the comprehensive evaluation result of Scheme I is "good", the comprehensive evaluation results of Scheme II and Scheme III are both "medium", and the comprehensive cloud parameter of Scheme I is better than that of Scheme II and Scheme III. Therefore, Scheme I can be selected as the target cross-river channel scheme.

[0079] It can be understood that after calculating the comprehensive cloud parameter, the comprehensive evaluation cloud map of each cross-river channel selection scheme can also be drawn through software such as Matlab for comparison of cross-river channel schemes, so as to provide a more intuitive evaluation basis; specifically, referring to Figure 3 as shown, the horizontal axis is the expected value (i.e., the evaluation value) of the comprehensive cloud parameter. Among them, [0, 60) on the horizontal axis means that the scheme is inferior, [60, 70) means that the scheme is poor, [70, 80) means that the scheme is medium, [80, 90) means that the scheme is good, and [90, 100] means that the scheme is superior; the vertical axis is the membership degree, which reflects the performance of the scheme under the target evaluation index. The higher the membership degree, the better the scheme; from Figure 3It can be seen that the membership degrees of Scheme I, Scheme II and Scheme III are the same. The expected value of Scheme I > the expected value of Scheme II > the expected value of Scheme III. Moreover, Scheme I is in the area corresponding to "good", and Scheme II and Scheme III are in the area corresponding to "medium". Therefore, Scheme I can be selected as the target cross-river channel scheme. Among them, the membership degree can be determined based on the expert scoring matrix x, the expected value Ex and the entropy value En in the comprehensive cloud parameters. The calculation formula of the membership degree u(x) is as follows: 。

[0080] Furthermore, in one embodiment, the factors affecting the selection of the cross-river channel location include at least one of river channel conditions, flood control, hydraulic shoreline, waterway conditions, natural conditions, environmental impacts and other conditions; Among them, the river channel conditions include at least one of river channel shape and river regime evolution; The flood control includes at least one of the river section dikes, flood discharge cross-section and river regulation projects; The hydraulic shoreline includes at least one of port terminals, anchorages, shipbuilding slips and water intake and drainage outlets; The waterway conditions include at least one of waterway maintenance dimensions, navigation dimensions and waterway regulation projects; The natural conditions include at least one of topography and geomorphology, meteorological conditions, geological conditions, hydrological conditions and field earthquakes; The environmental impacts include at least one of nature reserves, drinking water source protection areas, cultural relics protection, mineral resource overlying and military facilities; The other conditions include at least one of oil and gas pipelines, high-voltage iron towers, aviation height limits and adjacent water structures.

[0081] Exemplarily, in the embodiments of the present application, with reference to Figure 2As shown in the figure, the influencing factors for the location selection of the river-crossing passage cover multiple fields, including at least one of river channel conditions, flood control, hydraulic shoreline, waterway conditions, natural conditions, environmental impacts, and other conditions. These factors jointly determine the rationality and feasibility of the final location selection. Specifically, the river channel conditions include at least one of the shape of the river channel and the evolution of the river regime, which affect the stability and safety of the passage; the flood control factors include at least one of the river section dikes, flood discharge cross-section, and river regulation projects, ensuring the flood prevention and control ability of the location selection area; the hydraulic shoreline factors involve at least one of port terminals, anchorages, shipbuilding slips, and water intake and drainage outlets, affecting the shipping function and water flow smoothness; the waterway conditions focus on at least one of the maintenance scale, navigation scale, and waterway regulation projects of the waterway, ensuring the navigation ability of the river-crossing passage; the natural conditions include at least one of topography, meteorology, geology, hydrology, and field earthquakes, ensuring the stability and environmental adaptability of the location selection; the environmental impact assessment considers at least one of nature reserves, drinking water source protection areas, cultural relic protection, mineral overlying, and military facilities to avoid negative impacts on the environment; in addition, other conditions such as oil and gas pipelines, high-voltage iron towers, aviation height limits, and adjacent water structures also affect the location selection decision, ensuring the safety and feasibility of the project construction. Therefore, by comprehensively considering the interactions between these factors, a scientific and reasonable river-crossing passage location selection scheme is finally formed.

[0082] In the second aspect, the embodiment of the present application also provides an evaluation system for the location selection of the river-crossing passage.

[0083] In one embodiment, referring to Figure 4 , Figure 4 is a schematic diagram of the functional modules of the embodiment of the evaluation system for the location selection of the river-crossing passage of the present application. As Figure 4 shown, the evaluation system for the location selection of the river-crossing passage includes: A first processing module, which is used to construct an evaluation index system of a criterion layer and a sub-criterion layer based on the factors affecting the location selection of the river-crossing passage, construct a scheme layer based on all the river-crossing passage schemes to be evaluated, and construct a target layer based on the optimal scheme corresponding to the river-crossing passage scheme to be evaluated, so as to form a four-level evaluation index system; A second processing module, which is used to construct a judgment matrix based on the importance degree of the evaluation indexes; A third processing module, which is used for each river-crossing passage scheme to be evaluated, calculate the weights of all target evaluation indexes in the river-crossing passage scheme to be evaluated based on the judgment matrix, and calculate the cloud parameters of the target evaluation indexes based on the expert scoring matrix corresponding to the target evaluation indexes, and the cloud parameters include expected value, entropy value, and hyper-entropy value; A fourth processing module, which is used to calculate the comprehensive cloud parameters based on the weights and cloud parameters of the target evaluation indexes; The fifth processing module is configured to determine a target river-crossing channel plan from all the river-crossing channel plans to be evaluated based on the comprehensive cloud parameters.

[0084] Further, in one embodiment, the third module is specifically configured to: Perform normalization processing on the judgment matrix to obtain a normalized matrix; Sum the elements in each row of the normalized matrix, and perform normalization processing on the summation result to obtain the weights of all target evaluation indicators in the river-crossing channel plans to be evaluated.

[0085] Further, in one embodiment, the third module is specifically further configured to: Calculate the maximum eigenvalue of the judgment matrix; Determine a consistency ratio based on the matrix order, the maximum eigenvalue, and a preset random consistency index; If the consistency ratio is less than a preset ratio threshold, it is determined that the consistency test passes; If the consistency ratio is not less than the preset ratio threshold, it is determined that the consistency test fails and the step of constructing the judgment matrix based on the importance degree of the evaluation indicators is re-executed.

[0086] Further, in one embodiment, the third module is specifically further configured to: Calculate a target expected value and a target variance based on the scores in the expert scoring matrix corresponding to the target evaluation indicators; Determine the cloud parameters of the target evaluation indicators based on the expert scoring matrix, the target expected value, and the target variance.

[0087] Further, in one embodiment, the fourth module is specifically configured to: Substitute the weights and cloud parameters of the target evaluation indicators into the following calculation formula to obtain comprehensive cloud parameters, and the calculation formula is as follows:

[0088]

[0089]

[0090] In the formula, is the weight of the jth target evaluation indicator, and n is the number of target evaluation indicators; is the expected value of the jth target evaluation indicator; is the entropy value of the jth target evaluation indicator; is the hyperentropy value of the jth target evaluation indicator; is the expected value of the comprehensive cloud parameters; is the entropy value of the comprehensive cloud parameters; is the hyperentropy value of the comprehensive cloud parameters.

[0091] Further, in one embodiment, the fifth module is further specifically configured to: When it is detected that there is only one maximum expected value, use the to-be-evaluated river-crossing channel plan corresponding to the comprehensive cloud parameter where the maximum expected value is located as the target river-crossing channel plan; When it is detected that there are at least two identical maximum expected values and there is only one minimum entropy value, use the to-be-evaluated river-crossing channel plan corresponding to the comprehensive cloud parameter where the minimum entropy value is located as the target river-crossing channel plan; When it is detected that there are at least two identical maximum expected values and at least two identical minimum entropy values, use the to-be-evaluated river-crossing channel plan corresponding to the comprehensive cloud parameter where the minimum hyperentropy value is located as the target river-crossing channel plan.

[0092] Further, in one embodiment, the first module is specifically configured to: The factors affecting the selection of the river-crossing channel include at least one of river channel conditions, flood control, hydraulic shoreline, waterway conditions, natural conditions, environmental impacts, and other conditions; Among them, the river channel conditions include at least one of river channel shape and river regime evolution; The flood control includes at least one of river section dikes, flood discharge cross-sections, and river regulation projects; The hydraulic shoreline includes at least one of port terminals, anchorages, shipbuilding berths, and water intake and drainage outlets; The waterway conditions include at least one of waterway maintenance dimensions, navigation dimensions, and waterway regulation projects; The natural conditions include at least one of topography, meteorological conditions, geological conditions, hydrological conditions, and site earthquakes; The environmental impacts include at least one of nature reserves, drinking water source protection areas, cultural relics protection, mineral resource overlying, and military facilities; The other conditions include at least one of oil and gas pipelines, high-voltage iron towers, aviation height limits, and adjacent water structures.

[0093] This application constructs evaluation indicators for the criterion layer and sub-criterion layer based on the factors affecting the location selection of river-crossing channels, constructs a scheme layer based on all river-crossing channel schemes to be evaluated, and constructs a target layer based on the optimal scheme corresponding to the river-crossing channel scheme to be evaluated, so as to form a four-level evaluation index system, comprehensively covering the key factors required for location selection decisions; constructs a judgment matrix based on the importance degree of the evaluation indicators; for each river-crossing channel scheme to be evaluated, calculates the weights of all target evaluation indicators in the river-crossing channel scheme to be evaluated based on the judgment matrix, further ensuring the importance and quantifiability of each factor in the decision-making, and calculates the cloud parameters of the target evaluation indicators including expected value, entropy value and hyper-entropy value based on the expert scoring matrix corresponding to the target evaluation indicators, thereby quantifying the specific impact of each evaluation indicator; calculates the comprehensive cloud parameters based on the weights and cloud parameters of the target evaluation indicators; determines the target river-crossing channel scheme from all river-crossing channel schemes to be evaluated based on the comprehensive cloud parameters. Through the above technical solutions, it is possible to accurately identify the various factors affecting the location selection of river-crossing channels and their weights, avoiding decision-making errors caused by subjective biases or insufficient data in the traditional location selection process, thereby effectively improving the scientificity and accuracy of the location selection of river-crossing channels.

[0094] Among them, the function implementation of each module in the above evaluation system for the location selection of river-crossing channels corresponds to each step in the embodiment of the above evaluation method for the location selection of river-crossing channels, and its function and implementation process will not be elaborated here one by one.

[0095] In the third aspect, the embodiment of the present application provides an evaluation device for the location selection of river-crossing channels. The evaluation device for the location selection of river-crossing channels can be a device with data processing functions such as a personal computer (PC), a laptop computer, a server, etc.

[0096] Refer to Figure 5 , Figure 5 which is a schematic diagram of the hardware structure of the evaluation device for the location selection of river-crossing channels involved in the embodiment of the present application. In the embodiment of the present application, the evaluation device for the location selection of river-crossing channels may include a processor, a memory, a communication interface, and a communication bus.

[0097] Among them, the communication bus can be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0098] The communication interface includes interfaces such as input / output (I / O) interfaces, physical interfaces, and logical interfaces, which are used to implement the interconnection of components inside the evaluation device for the location selection of the river-crossing passage, as well as interfaces for implementing the interconnection between the evaluation device for the location selection of the river-crossing passage and other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0099] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical memory, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0100] The processor can be a general-purpose processor, which can call the evaluation program for the location selection of the river-crossing passage stored in the memory and execute the evaluation method for the location selection of the river-crossing passage provided in the embodiments of the present application. For example, the general-purpose processor can be a central processing unit (CPU). Among them, the method executed when the evaluation program for the location selection of the river-crossing passage is called can refer to the various embodiments of the evaluation method for the location selection of the river-crossing passage in the present application, which will not be elaborated here.

[0101] Those skilled in the art can understand that Figure 5 the hardware structure shown in

[0102] does not constitute a limitation to the present application, and may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0103] On the readable storage medium of the present application, there is stored an evaluation program for the location selection of the river-crossing passage. When the evaluation program for the location selection of the river-crossing passage is executed by a processor, the steps of the evaluation method for the location selection of the river-crossing passage as described above are implemented.

[0104] Among them, the method implemented when the evaluation program for the location selection of the river-crossing passage is executed can refer to the various embodiments of the evaluation method for the location selection of the river-crossing passage in the present application, which will not be elaborated here.

[0105] In the description of the specification and claims of this application and the above-mentioned drawings, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include steps or units not listed, or may optionally further include other steps or units inherent to these processes, methods, products, or devices. Descriptions such as "first", "second", and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit that "first", "second", and "third" are different types.

[0106] In the description of the embodiments of this application, words such as "exemplary", "for example", or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary", "for example", or "for instance" in the embodiments of this application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary", "for example", or "for instance" is intended to present the relevant concepts in a specific manner.

[0107] In the description of the embodiments of this application, unless otherwise specified, " / " means "or". For example, A / B may represent A or B; "and / or" in the text is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "a plurality of" means two or more than two.

[0108] In some processes described in the embodiments of this application, there are multiple operations or steps that appear in a specific order. However, it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of this application or may be executed in parallel. The serial numbers of the operations are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0109] It should be noted that the serial numbers of the above-mentioned embodiments of this application are only for description and do not represent the superiority or inferiority of the embodiments.

[0110] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes several instructions for causing a terminal device to execute the methods described in various embodiments of the present application.

[0111] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. An evaluation method for the location selection of a cross-river passage, characterized in that, The evaluation method for the location selection of the river-crossing passage includes: Constructing evaluation indicators for the criterion layer and sub-criterion layer based on the factors affecting the location selection of the river-crossing passage, constructing a scheme layer based on all the river-crossing passage schemes to be evaluated, and constructing a target layer based on the optimal scheme corresponding to the river-crossing passage scheme to be evaluated, so as to form a four-level evaluation index system; Constructing a judgment matrix based on the importance degree of the evaluation indicators; For each river-crossing passage scheme to be evaluated, calculating the weights of all target evaluation indicators in the river-crossing passage scheme to be evaluated based on the judgment matrix, and calculating the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators, where the cloud parameters include the expected value, entropy value, and hyper-entropy value; Calculating the comprehensive cloud parameter based on the weights and cloud parameters of the target evaluation indicators; Determining the target river-crossing passage scheme from all the river-crossing passage schemes to be evaluated based on the comprehensive cloud parameter.

2. The evaluation method for the location selection of the river-crossing passage according to claim 1, wherein The calculating the weights of all target evaluation indicators in the river-crossing passage scheme to be evaluated based on the judgment matrix includes: Performing normalization processing on the judgment matrix to obtain a normalized matrix; Performing summation processing on the elements in each row of the normalized matrix, and performing normalization processing on the summation result to obtain the weights of all target evaluation indicators in the river-crossing passage scheme to be evaluated.

3. The evaluation method for the location selection of the river-crossing passage according to claim 1, characterized in that After the step of calculating the weights of all target evaluation indicators in the river-crossing passage scheme to be evaluated based on the judgment matrix, it further includes: Calculating the maximum eigenvalue of the judgment matrix; Determining the consistency ratio based on the matrix order, maximum eigenvalue, and a preset random consistency index; If the consistency ratio is less than the preset ratio threshold, it is determined that the consistency test passes; If the consistency ratio is not less than the preset ratio threshold, it is determined that the consistency test fails and the step of constructing the judgment matrix based on the importance degree of the evaluation indicators is re-executed.

4. The evaluation method for the location selection of the river-crossing passage according to claim 1, wherein The calculating the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators includes: Calculating the target expected value and target variance based on the scores in the expert scoring matrix corresponding to the target evaluation indicators; Determining the cloud parameters of the target evaluation indicators based on the expert scoring matrix, target expected value, and target variance.

5. The evaluation method for the location selection of the river-crossing passage according to claim 1, wherein The calculating the comprehensive cloud parameter based on the weights and cloud parameters of the target evaluation indicators includes: Substituting the weights and cloud parameters of the target evaluation indicators into the following calculation formula to obtain the comprehensive cloud parameter, and the calculation formula is as follows: Wherein, is the weight of the j-th target evaluation index, and n is the number of target evaluation indexes; is the expected value of the j-th target evaluation index; is the entropy value of the j-th target evaluation index; is the hyper entropy value of the j-th target evaluation index; is the expected value of the comprehensive cloud parameter; is the entropy value of the comprehensive cloud parameter; is the hyper entropy value of the comprehensive cloud parameter.

6. The evaluation method for the location selection of the river-crossing passage as described in claim 5, wherein, The determining the target river-crossing passage scheme from all the river-crossing passage schemes to be evaluated based on the comprehensive cloud parameter includes: When it is detected that there is only one maximum expected value, taking the river-crossing passage scheme corresponding to the comprehensive cloud parameter where the maximum expected value is located as the target river-crossing passage scheme; When it is detected that there are at least two identical maximum expected values and only one minimum entropy value, taking the river-crossing passage scheme corresponding to the comprehensive cloud parameter where the minimum entropy value is located as the target river-crossing passage scheme; When it is detected that there are at least two identical maximum expected values and at least two identical minimum entropy values, taking the river-crossing passage scheme corresponding to the comprehensive cloud parameter where the minimum hyper-entropy value is located as the target river-crossing passage scheme.

7. The evaluation method for the location selection of the cross-river passage according to claim 1, characterized in that The factors affecting the location selection of the river-crossing passage include at least one of river channel conditions, flood control, hydraulic shoreline, waterway conditions, natural conditions, environmental impacts, and other conditions; Among them, the river channel conditions include at least one of river channel shape and river regime evolution; The flood control includes at least one of river section dikes, flood discharge cross-sections, and river regulation projects; The hydraulic shoreline includes at least one of port terminals, anchorages, shipbuilding berths and slipways, and water intake and drainage outlets; The waterway conditions include at least one of waterway maintenance dimensions, navigation dimensions, and waterway regulation projects; The natural conditions include at least one of topography and geomorphology, meteorological conditions, geological conditions, hydrological conditions, and site earthquakes; The environmental impacts include at least one of nature reserves, drinking water source protection areas, cultural relics protection, mineral resource overlying, and military facilities; The other conditions include at least one of oil and gas pipelines, high-voltage iron towers, aviation height limits, and adjacent water structures; 8. An evaluation system for the location selection of a cross-river passage, characterized in that, The evaluation system for the location selection of the river-crossing passage includes: A first processing module, which is used to construct evaluation indicators for the criterion layer and sub-criterion layer based on the factors affecting the location selection of the river-crossing passage, construct a scheme layer based on all the river-crossing passage schemes to be evaluated, and construct a target layer based on the optimal scheme corresponding to the river-crossing passage scheme to be evaluated, so as to form a four-level evaluation index system; A second processing module, which is used to construct a judgment matrix based on the importance degree of the evaluation indicators; A third processing module, which is used for each river-crossing passage scheme to be evaluated, calculate the weights of all target evaluation indicators in the river-crossing passage scheme to be evaluated based on the judgment matrix, and calculate the cloud parameters of the target evaluation indicators based on the expert scoring matrix corresponding to the target evaluation indicators, and the cloud parameters include expected value, entropy value, and hyper-entropy value; A fourth processing module, which is used to calculate the comprehensive cloud parameter based on the weights and cloud parameters of the target evaluation indicators; A fifth processing module, which is used to determine the target river-crossing passage scheme from all the river-crossing passage schemes to be evaluated based on the comprehensive cloud parameter.

9. An evaluation device for the location selection of a cross-river passage, characterized in that, The evaluation device for the location selection of the river-crossing passage includes a processor, a memory, and an evaluation program for the location selection of the river-crossing passage stored on the memory and executable by the processor. When the evaluation program for the location selection of the river-crossing passage is executed by the processor, the steps of the evaluation method for the location selection of the river-crossing passage as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that, An evaluation program for the location selection of the river-crossing passage is stored on the computer-readable storage medium. When the evaluation program for the location selection of the river-crossing passage is executed by the processor, the steps of the evaluation method for the location selection of the river-crossing passage as described in any one of claims 1 to 7 are implemented.

Images