56 results about "Fuzzy relation matrix" patented technology

The invention discloses a regulation and control quota distribution method and system fusing subjective and objective multi-dimensional features. The method comprises the following steps: acquiring electrical load data, historical response behavior data and subjective response intention information of a user; firstly, a Ward system is used for clustering, users are clustered according to active power, then a primary clustering center is used as an initial clustering center of secondary clustering, FCM clustering is carried out, and a typical load curve of the users is described based on a secondary clustering method; load prediction is carried out based on an NARX neural network, a predicted load curve is compared with a typical load curve, and adjustable potential is calculated; constructing a DR feature data set; and the DR feature data set is fused with an entropy weight method and an analytic hierarchy process to obtain a combined weight, a fuzzy relation matrix is constructed, a user comprehensive score is quantified, and a comprehensive response potential score of the user is formed.

The invention discloses an intelligent decision-making method and system based on deep learning, and relates to the field of data processing. The method comprises the steps of obtaining place data and corresponding attribute data of a to-be-decided project; establishing a fuzzy relation matrix between the places and the attributes; generating a network model reflecting trust relationship strength among users through trust propagation operation of the graph neural network; identifying a community structure containing a community overlapping degree through a community discovery algorithm; and according to the trust relationship strength between the users and the community overlapping degree, calculating an influence weight of a decision maker, forming a group consensus through a robust optimization method, and generating a decision result of the project to be decided. Aiming at low network relation modeling precision caused by multi-source heterogeneous data in bus station layout decision making in the prior art, the method and the device have the advantages that the network relation modeling precision is low through accurate modeling of an information propagation path in a complex trusted network, effective dimension reduction representation of a high-dimensional feature space and robust optimization solution in an uncertain environment; therefore, the calculation precision and robustness of the bus station layout intelligent decision-making system are improved.

The invention relates to a science and technology project evaluation method and system, and relates to the technical field of multi-index decision and intelligent modeling. Comprising the steps of collecting multi-dimensional data of finance, intellectual property, teams, historical projects and the like of science and technology projects; constructing an evaluation index system; constructing a cognitive map by taking the indexes as nodes and combining statistical correlation and expert rules; a graph attention network (GAT) is utilized to train the graph, and structural causal weights among indexes are extracted; fusing the structure weight and the original fuzzy relation matrix to form a structure enhanced fuzzy relation matrix; and in combination with a weight vector determined by a fuzzy analytic hierarchy process (FAHP), performing fuzzy weighted comprehensive evaluation, and outputting a project grade and an interpretable result. According to the method, the accuracy, self-adaptability and interpretability of science and technology project evaluation are effectively improved, and the method is suitable for complex project evaluation tasks in a multi-source heterogeneous data environment.

The invention discloses a production area rice quality evaluation method based on multi-dimensional index fusion, and the method comprises the steps: determining a subjective weight through employing an analytic hierarchy process, calculating an objective weight through combining with a CRITIC method, and obtaining a comprehensive weight through multiplication integration normalization; establishing an index grading standard based on a sample data quantile, calculating the membership degree of each index by using a reduced half trapezoidal distribution function, and constructing a fuzzy relation matrix; and finally, synthesizing the comprehensive weight and the fuzzy relation matrix, and judging the rice quality grade according to a maximum membership degree principle. Compared with an existing evaluation criterion, the evaluation method comprehensively considers the subjective weight and the objective weight of each index, the rice quality can be evaluated more accurately, and therefore the rice grade is scientifically judged.

The invention provides a shipyard power distribution network health degree assessment method and system, and relates to the technical field of health state assessment and management of power systems. The method comprises the following steps: constructing a shipyard power distribution network health degree evaluation system by adopting an analytic hierarchy process, performing grading and scoring according to corresponding national standards, and determining subjective weights of indexes; calculating objective weights of the indexes by adopting an entropy weight method; calculating a comprehensive weight based on the subjective weight and the objective weight; and based on the comprehensive weight and the fuzzy relation matrix, performing shipyard power distribution network health degree evaluation by adopting a double-layer judgment criterion. Quantitative evaluation and hierarchical management of the health degree of the shipyard power distribution network are realized, a double-layer judgment criterion is introduced in evaluation grade judgment, the accuracy and rationality of an evaluation result are ensured, the stability of the power distribution network can be effectively improved, the unplanned shutdown risk is reduced, the power resource configuration is optimized, and the production safety and the product quality are guaranteed.

The invention provides a soft rock damming safety evaluation method and system based on fuzzy analytic hierarchy process, and belongs to the technical field of water conservancy and hydropower engineering safety evaluation, and the method comprises the steps: constructing a target layer-criterion layer-index layer three-level evaluation model framework; determining indexes in the index layer according to the evaluation items of the item layer; calculating the weight of each index by adopting an analytic hierarchy process; establishing a fuzzy relation matrix; performing synthesis operation on the weight of each index and the fuzzy relation matrix by using a fuzzy synthesis operator to obtain an evaluation vector; and judging the safety level of damming according to the evaluation vector. According to the method, the confidence interval based on credibility distribution is constructed, a traditional single evaluation result is replaced, uncertainty in the evaluation process is fully reflected, a more comprehensive and scientific information basis is provided for decision makers, and therefore the decision makers are assisted to make more reasonable and reliable engineering decisions.

The invention provides a coal mine water disaster water inrush early warning grading method, and relates to the technical field of coal mine safety engineering and intelligent monitoring, and the method comprises the steps: collecting the multi-source basic data of a coal mine area in real time; constructing a first-level index-second-level index layered influence factor set based on a water source condition, a water guide channel and a dynamic factor of coal mine water disaster water inrush, and introducing an index dynamic correlation coefficient; defining an early warning grade-symbol-judgment standard-emergency response four-dimensional judgment set of the coal mine water disaster; respectively calculating the membership degree for the measured value of each secondary index in the multi-source basic data, and constructing a fuzzy relation matrix; dynamically calculating the real-time weight of each level of index according to the mining process and the index dynamic correlation coefficient; and based on the real-time weight and the fuzzy relation matrix, calculating and obtaining a corresponding early warning grade and an emergency response in the four-dimensional evaluation set. According to the method, full-period water inrush risk grading early warning of bottom plate limestone water, top plate sandstone water, goaf water and composite water disasters under complex geological conditions can be achieved.

The invention discloses a fire-fighting reconnaissance robot system hardware reliability evaluation method, which comprises the steps of collecting hardware performance data and key environment stress data of a fire-fighting reconnaissance robot, and constructing basic evaluation data; extracting a core evaluation factor evolved along with the change of the fire scene condition, and determining reliability index data according to the core evaluation factor; determining a subjective weight and an objective weight according to the real-time reliability index data in the current environment; performing dynamic adjustment on the subjective weight and the objective weight of the fire-fighting reconnaissance robot index to obtain a self-adaptive comprehensive weight vector; and constructing a fuzzy relation matrix by using the core evaluation factor and the comprehensive weight vector, and performing synthesis operation to obtain a real-time updated system reliability level. According to the reliability evaluation method, real-time, dynamic and accurate evaluation of the reliability of the fire-fighting reconnaissance robot hardware can be realized, and intelligent decision support is provided for dynamic task decision and imminent maintenance of the robot.

The invention relates to the technical field of computer science and technology, and discloses a karst metal underground mine hidden disaster-caused water disaster risk evaluation method comprising the following steps: constructing a three-level evaluation index system of a karst metal underground mine comprising a target layer, a criterion layer and an index layer; analyzing the expert analysis risk level of the second-level index; correcting expert analysis risk levels to obtain membership degrees of the second-level indexes relative to different risk levels so as to construct a fuzzy relation matrix of the karst metal underground mine; calculating a first-level index weight of a first-level index corresponding to the criterion layer and a second-level index weight of a second-level index corresponding to the criterion layer, and performing fuzzy synthesis operation on the fuzzy relation matrix and the second-level index weight to obtain a first index risk probability of the first-level index; and performing fuzzy synthesis operation on the first index risk probability and the first-level index weight to obtain a comprehensive risk level corresponding to the target layer. According to the invention, the monitoring accuracy of major safety accidents caused by hidden water disasters can be improved.

The invention discloses a resource allocation method and device, a computer program product and electronic equipment. The method comprises the following steps: acquiring project information of a target project; multiple evaluation indexes of the target project are determined according to the project information, index weights of the evaluation indexes are determined based on an index judgment matrix, and matrix elements of the index judgment matrix are used for reflecting the importance proportion between every two evaluation indexes; the feasibility level of the target project is determined based on a fuzzy relation matrix and the index weight of each evaluation index, and matrix elements of the fuzzy relation matrix are used for representing the membership degree of each evaluation index to comments of different levels; and determining a cloud resource allocation strategy of the target project according to the project information and the feasibility level, and allocating corresponding cloud resources to the target project according to the cloud resource allocation strategy. The technical problems of unreasonable resource allocation and untimely risk response existing in a cloud resource scheduling strategy for formulating a project based on static information are solved.

The invention belongs to the technical field of cloud computing networks, and discloses a computing power network workload spatio-temporal dynamic prediction method and device, equipment and a medium, and the method comprises the steps: determining a fuzzy set for identifying a workload mode through employing a clustering algorithm based on dynamic time warping according to a performance index during operation; determining a state transition conditional probability matrix of the computing power node, the heterogeneous hypergraph and the working load mode; adopting hypergraph convolution kernel learning to obtain a heterogeneous feature fusion model of workload and computing power nodes; processing the fuzzy set by adopting a fuzzy membership covariance, and further training by adopting a time convolution network of a dynamic receptive field to obtain a time sequence feature of a workload; and according to the heterogeneous feature fusion model and the time sequence features of the workload, carrying out space-time fusion training of cross entropy measurement probability and fuzzy uncertainty by adopting a probability intuitionistic fuzzy relation matrix to obtain a workload space-time dynamic prediction model. The method has the beneficial effect that the error rate of resource scheduling decision is reduced.

The invention discloses a living environment human factor engineering optimization method and system based on AHP-fuzzy comprehensive evaluation. The method comprises the steps that physical parameters (including illumination intensity distribution, air particulate matter concentration gradient, sound pressure level spectrum data and space geometric topology information) of a living environment are collected in real time through a multi-source sensor network; constructing a hierarchical structure of the evaluation model by using an analytic hierarchy process and calculating a weight vector; and constructing a membership function and a fuzzy relation matrix by combining a fuzzy comprehensive evaluation method, and generating an optimization scheme of cabin layout and facility configuration through a multi-dimensional constraint optimization model. By integrating AHP and fuzzy comprehensive evaluation and introducing a real-time data dynamic adjustment mechanism, the accuracy and practicability of living environment evaluation and optimization are remarkably improved. The method can be widely applied to the fields of smart home, cabin design, human settlement environment engineering and the like.

The invention belongs to the technical field of rockburst prediction of laneway engineering, and particularly discloses a multi-parameter rockburst prediction method based on analytic hierarchy process and fuzzy mathematics, which takes lithologic conditions, stress conditions and surrounding rock conditions as evaluation indexes to form rockburst grading judgment criteria of 13 evaluation indexes, is beneficial to solving the problem of single selection of rockburst indexes, and improves the rockburst prediction accuracy. The rock burst prediction accuracy is improved; meanwhile, a comprehensive evaluation model is constructed by combining analytic hierarchy process and fuzzy mathematics and comprises a fuzzy mathematical model and a hierarchical structure model which are synchronously carried out, a fuzzy relation matrix is obtained through the fuzzy mathematical model, the weight of each evaluation index is obtained through the hierarchical structure model, and then output of the two models is fused to obtain a rock burst comprehensive prediction result. And by quantitatively analyzing the evaluation indexes, the subjectivity of expert experience is reduced, so that the prediction result is more stable and reliable.

The invention relates to the technical field of navigation safety management, and discloses a coastal water area navigation safety early warning method and system based on grids, and the method comprises the steps: constructing an evaluation factor set, and obtaining the real-time parameters of each evaluation factor in each grid unit; calculating a membership degree set of each evaluation factor of each grid unit through a membership degree function, and constructing a fuzzy relation matrix of each grid unit; constructing a judgment matrix according to preset scale values among the evaluation factors, and obtaining weight vectors of the evaluation factors according to the judgment matrix; generating a fuzzy evaluation result according to the fuzzy relation matrix and the weight vector; and obtaining a comprehensive safety risk value of each grid unit according to the fuzzy evaluation result and a preset risk level weight, and further obtaining a risk level of each grid unit. According to the scheme, a scientific decision basis can be provided for navigation safety management, emphasized water areas can be defined, supervision measures can be optimized, a safety risk assessment tool can be provided for ship navigation, and the safety management level can be improved.

This invention discloses a health assessment method and apparatus for a high-temperature aging test chamber for integrated circuits, belonging to the field of integrated circuit technology. The method includes: determining the health value of each module in the test chamber and calculating the degradation rate of each module based on the health value; constructing a coupling influence relationship matrix based on the number of modules in the test chamber and the influence coupling coefficient between modules; generating a dynamic weight vector corresponding to the test chamber based on the health value of each module, degradation rate, predefined benchmark weight vector, and the coupling influence relationship matrix; constructing a fuzzy relationship matrix for health levels; generating a comprehensive health evaluation vector based on the dynamic weight vector and the fuzzy relationship matrix for health levels; and determining the target health value of the test chamber based on the comprehensive health evaluation vector and the health score of the test chamber under each evaluation level. This scheme makes the obtained health assessment results more accurate and more consistent with physical reality.

The invention discloses an energy transformation index quantification method based on power data comprehensive evaluation integration, and the method is mainly used in the field of energy transformation evaluation, such as energy policy making, energy investment decision making, energy technology development direction and the like. The method comprises the following steps of: constructing an index system; solving a weight by using CRITIC-BWM; and performing fuzzy comprehensive evaluation. The method comprises the following steps: S1, when an index system is constructed, from four dimensions of an energy supply structure, electric power cleaning, policy support and economic benefits, refining twelve secondary indexes such as a renewable energy source ratio, a traditional energy source ratio, an energy self-sufficiency rate and the like; s2, calculating the weight by using the CRITIC-BWM method, namely calculating an objective weight by using a CRITIC method and calculating a subjective weight by using a BWM method, and finally carrying out weight synthesis; and S3, fuzzy comprehensive evaluation comprises two steps of fuzzy set construction and fuzzy comprehensive model evaluation, and the final evaluation grade of the energy transformation index is determined and the influence of each index is analyzed by calculating the index membership degree, constructing a fuzzy relation matrix and combining a final weight vector with the fuzzy relation matrix.

The invention discloses a power energy type selection method, device and system of an inland ship, a storage medium and a computer program product, and belongs to the technical field of inland ship engineering.The method comprises the steps that an evaluation index set and alternative power energy types are determined, qualitative evaluation information of all indexes is converted into a fuzzy relation matrix based on the fuzzy mathematical theory, and the fuzzy relation matrix is calculated; and calculating the weight value of each index by adopting an entropy weight method, performing fuzzy synthesis operation in combination with the weight value and the fuzzy relation matrix, normalizing the result, and finally determining the adaptive target power energy type by solving the total score of evaluation and calculating the relative proximity of each alternative type and the optimal solution. According to the scheme, quantification, comprehensiveness and precision of inland ship power energy selection are achieved.

The invention provides a construction project risk prediction and decision optimization method and system based on AI, and relates to the field of construction project risk prediction, and the method comprises the steps: decomposing a construction project into a plurality of stages, recognizing the risk factors of each stage, constructing a multi-level risk index system, determining the weight of each index, forming a fuzzy relation matrix, and determining the risk level. And a corresponding risk coping strategy is generated, and effective prediction and decision optimization of the construction project risk are realized.

The application discloses a kind of inland river ships power energy selection method, device, system, storage medium and computer program product, belong to inland river ships engineering technical field, this method includes: determining evaluation index set and alternative power energy type, qualitative evaluation information of each index is converted into fuzzy relation matrix based on fuzzy mathematics theory, entropy weight method is used to calculate the weight value of each index, combined with weight value and fuzzy relation matrix carries out fuzzy synthesis operation and the result is normalized, finally by solving evaluation total score, the relative closeness of each alternative type and optimal solution is calculated, the target power energy type of adaptation is determined.The scheme realizes the quantification, overall and precision of inland river ships power energy selection.

The invention belongs to the technical field of papermaking enterprise management, and discloses a papermaking industry transformation and upgrading evaluation model construction method, which comprises the following steps: constructing an expert review judgment matrix by using an analytic hierarchy process, determining the weight of each level of index through consistency check, and ensuring the scientificity and authority of the evaluation process; in combination with a fuzzy comprehensive evaluation method, qualitative indexes and quantitative indexes are uniformly converted into a membership form, a fuzzy relation matrix is established layer by layer, weighted synthesis is performed according to weights, and finally a comprehensive evaluation vector and a scalar score of an enterprise at a target level are obtained, so that fusion of qualitative and quantitative information is realized. Through the method, the levels of a papermaking enterprise in the aspects of productivity elimination, energy conservation and emission reduction, automatic control, process optimization, intelligent manufacturing, circular economy and the like can be comprehensively and objectively reflected, and annual trend analysis and grade judgment can be carried out; according to the method, the systematicness, repeatability and operability of evaluation results are improved, and a scientific basis is provided for transformation and upgrading and industry management of papermaking enterprises.

The invention discloses a commercial sports event brand image evaluation system and method based on audience viewing angles, and the method comprises the steps: firstly constructing an initial evaluation index library comprising four dimensions of service, organization, personalization and symbols, and sequentially carrying out the fuzzy membership analysis, correlation analysis and discriminability analysis based on the audience investigation data; screening out a key evaluation index set; then determining the weight of each dimension and index by adopting an analytic hierarchy process; thirdly, objective data such as audience subjective evaluation data, media transmission data and economic benefit preliminary data are collected; constructing a fuzzy relation matrix by using the subjective evaluation data, and carrying out secondary fuzzy synthesis operation in combination with the weight to obtain a final fuzzy evaluation vector; and finally, carrying out defuzzification processing on the vector to obtain a comprehensive evaluation value, and carrying out association analysis on the comprehensive evaluation value and objective data to generate a structured evaluation report. According to the invention, scientific, quantitative and comprehensive assessment of the competition brand image is realized.

The invention relates to a frequency modulation capability evaluation method and system for standby power of an offshore wind plant. The method comprises the following steps: acquiring related data of the offshore wind plant; calculating the standby power of the offshore wind plant based on the related data; calculating an environment correction factor to correct the standby power; frequency modulation is carried out on the corrected standby power by several times, the value of a preset evaluation index during frequency modulation each time is calculated, and a frequency modulation result is obtained; determining a weight vector of the frequency modulation result by using an analytic hierarchy process, and calculating a fuzzy relation matrix of each evaluation index in the frequency modulation result; and obtaining an evaluation result based on the weight vector of the frequency modulation result and the fuzzy relation matrix.

The present application belongs to the technical field of lithium battery thermal safety management, and relates to a lithium battery thermal safety boundary determination method based on fuzzy comprehensive evaluation, comprising: obtaining a factor set, determining the evaluation corresponding to the factor set and the weight vector corresponding to the factor set; constructing a fuzzy relation matrix using the evaluation corresponding to the factor set; synthesizing the membership function of the fuzzy relation matrix and the weight vector based on fuzzy synthesis operation to generate a fuzzy comprehensive evaluation system of the lithium battery safety boundary. The present application can reduce the thermal runaway prediction time error.

The invention relates to a safety assessment method for an energy storage converter. The method comprises the following steps: acquiring a first-level evaluation index of the energy storage converter, wherein the first-level evaluation index corresponds to at least one second-level evaluation index; constructing a judgment matrix based on the first-level evaluation index to obtain a feature extreme value of the judgment matrix and a feature vector corresponding to the feature extreme value, and performing normalization processing on the feature vector to obtain a weight corresponding to the first-level evaluation index; constructing a fuzzy relation matrix based on a preset reference evaluation vector and a membership degree of a second-level evaluation index, and obtaining a membership degree vector of the first-level evaluation index based on the fuzzy relation matrix and the weight corresponding to the first-level evaluation index; and determining the safety level of the energy storage converter based on the membership degree vector.

The invention discloses a road surface green low-carbon evaluation method. The method comprises the following steps: S1, selecting road surface carbon emission evaluation indexes based on related specifications of road construction, operation and maintenance processes; s2, carrying out index classification on the selected road surface carbon emission evaluation indexes according to multiple dimensions; s3, determining the weight of each index; s4, constructing an index hierarchy analysis and evaluation model; s5, respectively establishing an evaluation factor set and a weight set according to the index structure, hierarchical division and index weights; s6, according to the difference between the characteristics of the evaluation object and the actual situation, setting the evaluation standard as a comment set with different grades; s7, evaluating the index layer according to the comment set, performing quantitative processing on the indexes to obtain the membership degree of the ith factor to the jth evaluation, and establishing a fuzzy relation matrix; s8, performing fuzzy operation on the weight and the fuzzy matrix to obtain a row vector index layer fuzzy evaluation result; and S9, determining a final evaluation result of each level index.

The invention relates to the technical field of software system evaluation, and discloses a software system benefit evaluation index data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: determining each benefit index in each index grade, and calculating the weight of each index grade; third-level index data of the software system to be evaluated are obtained, and a fuzzy relation matrix of third-level indexes is obtained through fuzzy evaluation; and fusing the fuzzy relation matrix with the third-level index weight, the second-level index weight and the first-level index weight in a stepped manner. Fuzzy evaluation is introduced to evaluate the three-level index data of the to-be-evaluated software system, the system evaluation result is obtained based on the weight of each index level, effective evaluation of the software system is achieved, data support is provided for forming software system optimization measures, and therefore the software system operation quality and the software system utilization rate are improved, and the software system evaluation efficiency is improved. The informatization project return on investment is further increased, and the digital transformation and intelligent development of the oil field are assisted.

The invention relates to an optimal selection method of an energy multi-energy coupling scheme, and belongs to the technical field of new energy construction. According to the optimal selection method of the energy multi-energy coupling scheme, difference of various distributed renewable energy application scenes is comprehensively considered, meanwhile, factors such as resource conditions, construction conditions, technical conditions, economic conditions and policy conditions are considered, and firstly, hierarchical evaluation indexes influencing the renewable energy multi-energy complementation optimal scheme are determined; then, the membership degree and the weight of the bottommost layer index are determined, a fuzzy relation matrix is further formed according to a matrix formed by the weight of each evaluation index and the membership degree of each factor, a renewable energy source multi-energy coupling fuzzy comprehensive evaluation model is established, and an optimal renewable energy source multi-energy coupling scheme is determined according to evaluation index data obtained through calculation. The method not only can improve the operation economy of the system, but also can improve the comprehensive utilization efficiency of energy.

The application provides a power station system evaluation method, system, device and medium, the method comprises the following steps: S1, acquiring power station system data information, generating a power station system fault experience knowledge base, the system fault experience knowledge base comprises a plurality of types of collected data and a risk evaluation index set, the risk evaluation index set is generated according to a plurality of types of collected data; S2, real-time collection of actual data of the power station under the running state, according to the pre-processing and analysis of the actual data, a weight vector set is generated, and a fuzzy relation matrix is generated according to the membership function; S3, according to the weight vector set and the fuzzy relation matrix, a comprehensive evaluation matrix is calculated and obtained, and according to the comprehensive evaluation matrix result, information corresponding to the evaluation result is obtained. The application can effectively improve the safe and stable operation level of the unit and the integrated intelligent level of operation and maintenance, give the risk prediction of system failure in advance, and avoid the occurrence of sudden failure.

The embodiment of the application discloses a curtain wall safety detection method and system; after obtaining the original image set of the curtain wall, the original image in the original image set can be matched to obtain the matched image pair, and the matched image pair is weighted and fused to obtain the fused image; the semantic features of the fused image are extracted through a preset semantic extraction model, and the evaluation weight corresponding to the safety evaluation index of the curtain wall is determined, the safety evaluation index includes the structure information of the curtain wall, the material state of the curtain wall and the environment information of the environment where the curtain wall is located; the semantic features of the fused image are evaluated based on the fuzzy relation matrix to obtain the evaluation score of the curtain wall, and the safety level of the curtain wall is determined according to the evaluation score and the evaluation threshold; therefore, the comprehensiveness, objectivity and accuracy of the curtain wall safety detection can be improved, and reliable quantitative basis is provided for curtain wall safety maintenance and risk control.