EOD mode project development implementation method and system under multi-target condition

Abstract

The invention discloses an EOD mode project development implementation method and system under a multi-objective condition, and the method comprises the steps: taking the maximization of comprehensive benefits as a total objective of project construction, and determining a project construction constraint condition; the necessary construction projects and the variable projects are combined to obtain various different combination schemes, optimization solution is carried out on the different combination schemes, and optimal solutions and maximum comprehensive benefits of the different combination schemes are obtained; multi-dimensional environmental factors are jointly considered, weighted comprehensive foreground values of all the combination schemes are quantitatively evaluated through a multi-attribute comprehensive evaluation system based on a hesitant fuzzy set and a foreground theory, the weighted comprehensive foreground values of all the combination schemes are sorted, and the combination scheme with the highest weighted comprehensive foreground value serves as the most valuable construction scheme. According to the method, the problem of EOD mode project investment and income balance under the multi-target condition can be effectively solved, and comprehensive benefit maximization is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of project development, and in particular to a method and system for realizing EOD mode project development under multi-objective conditions. Background Art

[0002] Eco-environment-oriented development (EOD) model (hereinafter referred to as "EOD model") is an innovative project organization and implementation model. It is guided by the idea of ​​ecological civilization, with sustainable development as the goal, ecological protection and environmental governance as the basis, characteristic industry operation as the support, regional comprehensive development as the carrier, and adopts industrial chain extension, joint operation, combined development and other methods to promote the effective integration of ecological environment governance projects with strong public welfare and poor profitability with related industries with good profitability, and to coordinate and promote them, implement them in an integrated manner, and internalize the economic value brought by ecological environment governance. Ecological environment governance projects generally have strong public welfare, large investment, long payback period, high environmental risk, low rate of return and difficulty in financing. Therefore, in the actual planning process of EOD model projects, whether the overall input and output can be self-balanced is an important prerequisite and key factor for the implementation of the project. In the absence of the introduction of relevant advantageous industries with strong correlation, the expected revenue scale and guarantee uncertainty of general health care, modern agriculture or cultural tourism industries are relatively large. Therefore, most EOD model projects currently still use natural resource income with high reliability such as sand and gravel as the main source of project income. Therefore, in the absence of resource income, it is difficult to balance the input and output of the project, and the motivation for project development is insufficient. The significance of the present invention is to ultimately achieve target optimization analysis through the EOD model project, and propose a method for realizing the development of EOD model projects under multi-objective conditions. Summary of the invention

[0003] The present application provides a method and system for realizing EOD mode project development under multi-objective conditions, so as to solve the problem that the input-output balance and the benefit maximization cannot be achieved in the existing EOD mode project development.

[0004] According to the first aspect, an embodiment provides a method for implementing EOD mode project development under multi-objective conditions, the method comprising:

[0005] Collect and preliminarily screen out projects that meet the requirements of the EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects;

[0006] Decompose the project construction objectives into economic benefit objectives, social benefit objectives and environmental benefit objectives, take maximizing comprehensive benefits as the overall goal of project construction, and determine the constraints of project construction;

[0007] Combine necessary construction projects and variable projects to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, optimize and solve different combination schemes to obtain the optimal solution and maximum comprehensive benefit of different combination schemes.

[0008] Based on the maximum comprehensive benefits of different combination schemes and joint consideration of multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme. The weighted comprehensive prospect value of each combination scheme is ranked, and the combination scheme with the highest weighted comprehensive prospect value is selected as the most valuable construction scheme.

[0009] Furthermore, the project construction objectives are decomposed into economic benefit objectives, social benefit objectives and environmental benefit objectives, with maximizing comprehensive benefits as the overall goal of project construction, including:

[0010] maxF=a×F em +b×F eg +c×F so

[0011]

[0012] Among them, F is the comprehensive benefit of EOD project, F em The comprehensive economic benefits of the EOD project, F eg For the comprehensive ecological benefits of EOD projects, F so is the comprehensive social benefit of the EOD project, a, b, c are the weights of comprehensive economic benefit, comprehensive ecological benefit, and comprehensive social benefit, respectively, and n is the number of sub-projects included in the EOD project package. They are the economic benefits, ecological benefits, and social benefits of the first sub-project that can be included in the EOD project package. They are the economic benefit, ecological benefit and social benefit of the nth sub-project that can be included in the EOD project package.

[0013] Furthermore, the project construction constraints are determined, including:

[0014] The project construction constraints include:

[0015] Project type constraints: Ecological projects and related industry projects must meet the requirements of the EOD project implementation guidelines;

[0016] Financial indicator constraints: internal rate of return, payback period.

[0017] Furthermore, based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes, including:

[0018] According to the project requirements, set the weights a, b, c of comprehensive economic benefits, comprehensive ecological benefits, and comprehensive social benefits;

[0019] The weights of indicators at each benefit level are set according to different combination schemes, including:

[0020] The indicators of the economic benefit layer include internal rate of return and construction investment payback period, with a weight of 0.5 each;

[0021] The indicators of social benefit layer include public satisfaction, with a weight of 1;

[0022] The method for determining the weight of ecological benefit layer indicators is as follows:

[0023] Environmental indicators include water quality indicators, ecological indicators, landscape effects and basin climate indicators. The relative importance of each environmental indicator in solving environmental problems is scored independently in turn, with a score of 0-5, representing irrelevant, generally important, relatively important, important, very important and restrictive indicators respectively. If it is a restrictive indicator, its weight is directly assigned to 1;

[0024] Calculate the weight of each environmental indicator and normalize the scores of each indicator. The weight of each indicator is:

[0025]

[0026] Among them, A i is the importance score of the i-th environmental indicator, a i is the weight of the i-th environmental indicator, and n is the number of environmental indicators.

[0027] Furthermore, based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes, including:

[0028] Use the PSO optimization algorithm model to solve: establish a quantitative relationship between each goal and the project construction content, calculate the project construction target value, and determine whether it meets the established benefit goals. If it does, the project composition is feasible, and the preliminary construction content is determined as the project construction content. If it does not meet the requirements, further optimize the variable project construction content. Based on the quantitative relationship between the goal and the project construction content, change the factors that affect the optimization of the project goal, and repeat the calculation until the goal is met and the final construction content of the project is determined.

[0029] Furthermore, based on the maximum comprehensive benefits of different combination schemes and considering multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme, including:

[0030] The multi-dimensional environmental factors include the builder's investment intention, investment environment and project maturity factors.

[0031] Furthermore, based on the maximum comprehensive benefits of different combination schemes and considering multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme, including:

[0032] Based on the maximum comprehensive benefits of different combination schemes and related indicators of multi-dimensional environmental factors, the hesitant fuzzy decision matrix X is constructed;

[0033]

[0034] Where: i represents the i-th solution, j represents the j-th attribute (i.e. indicator), x ij Represents the possible membership set of each attribute for each scheme;

[0035] According to the matrix X, the positive and negative ideal points of each indicator attribute are calculated The calculation formula is as follows:

[0036]

[0037] Where: k represents the function of calculating the number of elements in a set, k0 represents the number of possible values ​​of a certain attribute in a certain scheme;

[0038] Calculate the distance of each scheme from the positive and negative ideal points under each attribute In the attribute q j Next, the i-th solution is as follows:

[0039]

[0040] Where: h1 and h2 represent two hesitant fuzzy numbers, k(h1) = k(h2) = k0, α k ∈[0,1], and Respectively represent the kth smallest value in h1 and h2;

[0041] According to the calculation formula of the value function, all solutions are losses relative to the positive ideal point, and all solutions are gains relative to the negative ideal point. Therefore, the prospect value function of each solution relative to the positive and negative ideal points under each attribute is calculated. The calculation formula is as follows:

[0042]

[0043] Where t(y) is the prospect value function in a hesitant fuzzy environment; y0 represents the decision reference point; u, m, and n are parameters, where u = 2.25, m = n = 0.88;

[0044] Comprehensive prospect value t ij The calculation formula is as follows:

[0045]

[0046] In the formula, They represent the prospect value of the jth attribute in the ith solution relative to the positive ideal point and the negative ideal point respectively; t ij It represents the comprehensive prospect value of the jth attribute in the i-th solution, and the size is expressed by It is expressed as the ratio of the absolute value of the sum of the distances of all solutions of the corresponding attribute to the positive ideal point;

[0047] Sort and rank the values ​​in the comprehensive prospect value matrix T, select a certain frequency value as the threshold ε according to the actual situation, and construct a new judgment matrix E by comparing each value in the T matrix with the threshold. If the T matrix is ​​less than ε, the corresponding value in E is 0, and the others are 1. The calculation method is as follows:

[0048]

[0049] In the formula, E represents the judgment matrix; e ij represents the judgment value of the jth attribute in the i-th solution; ε represents the set threshold, which is determined according to the actual calculation situation;

[0050] The obtained E matrix is ​​attribute simplified, and the weights of non-redundant attributes are calculated using the following formula, and finally the weight set of each attribute value is obtained:

[0051]

[0052] Where b j represents the necessary attributes in the attribute set Q. The set of all necessary attributes is called the core of the attribute, denoted as core(Q); r represents the approximate quality, W j represents the weight of the jth attribute;

[0053]

[0054] In the formula, |·| represents the cardinality of the set, that is, the number of elements. P (X) represents the lower approximation set of set X;

[0055] According to the calculated weights, the weighted comprehensive prospect value of each scheme is calculated, and the weighted comprehensive prospect value matrix is ​​obtained by multiplying the weight and the comprehensive prospect value:

[0056]

[0057] Where P iRepresents the weighted comprehensive prospect value of the i-th option.

[0058] The calculated weighted comprehensive prospect values ​​of each plan are ranked, and the larger the value, the better the plan.

[0059] According to the second aspect, an embodiment provides an EOD mode project development implementation system under multi-objective conditions, the system comprising:

[0060] The project classification module is used to collect and preliminarily screen out projects that meet the requirements of the EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects;

[0061] The goal and constraint establishment module is used to decompose the project construction goals into economic benefit goals, social benefit goals and environmental benefit goals, take the maximization of comprehensive benefits as the overall goal of project construction, and determine the project construction constraints;

[0062] The optimization solution module is used to combine necessary construction projects and variable projects to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes.

[0063] The evaluation module is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme based on the maximum comprehensive benefits of different combination schemes and jointly consider multi-dimensional environmental factors, using a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory, and to rank the weighted comprehensive prospect values ​​of each combination scheme, and to select the combination scheme with the highest weighted comprehensive prospect value as the most valuable construction scheme.

[0064] According to the third aspect, an embodiment provides an electronic device, the device comprising: a processor and a memory;

[0065] The memory is used to store one or more program instructions;

[0066] The processor is used to run one or more program instructions to execute the steps of a method for implementing EOD mode project development under multi-objective conditions as described in any of the above items.

[0067] According to the fourth aspect, an embodiment provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of a method for implementing EOD mode project development under multi-objective conditions as described in any of the above items are implemented.

[0068] The present application provides a method and system for implementing EOD model project development under multi-objective conditions, through project collection and preliminary screening of projects that meet the requirements of EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects; decompose the project construction goals into economic benefit goals, social benefit goals and environmental benefit goals, take comprehensive benefit maximization as the overall project construction goal, and determine the project construction constraints; combine necessary construction projects and variable projects to obtain a variety of different combination schemes, based on the overall project construction goal and project construction constraints, optimize and solve different combination schemes respectively, obtain the optimal solution and the maximum comprehensive benefit of different combination schemes; based on the maximum comprehensive benefits of different combination schemes and jointly consider multi-dimensional environmental factors, use the multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme, sort the weighted comprehensive prospect value of each combination scheme, and take the combination scheme with the highest weighted comprehensive prospect value as the most valuable construction scheme. The present invention can effectively solve the problem of balancing the investment and benefits of EOD model projects under multi-objective conditions, optimize the scientific matching of project benefit composition and construction content, put forward reasonable optimization suggestions for project construction content, and achieve comprehensive benefit maximization. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 A flowchart of a method for implementing EOD mode project development under multi-objective conditions provided by one embodiment of the present invention;

[0070] Figure 2 A specific implementation flow chart of a method for implementing EOD model project development under multi-objective conditions provided by one embodiment of the present invention;

[0071] Figure 3 A schematic diagram of the logical structure of an EOD model project development and implementation system under multi-objective conditions provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0072] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present application are not shown or described in the specification, this is to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0073] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0074] The first embodiment of the present invention provides a method for implementing EOD mode project development under multi-objective conditions. Figure 1 and Figure 2 Provide detailed explanation.

[0075] like Figure 1 As shown, in step S100, projects that meet the requirements of the EOD implementation guidelines are collected and preliminarily screened, and then the screened projects are divided into necessary construction projects and variable projects.

[0076] Specifically, according to the information provided by the owner and the on-site communication, we first collect the projects that have completed the feasibility study or implementation plan or are included in the list of government investment projects in the local area, and then preliminarily screen out the projects that meet the requirements of the EOD implementation guidelines, and finally classify them into necessary construction projects and variable projects. Among them, necessary projects are represented as: M1, M2, M3..., and variable projects are represented as: N1, N2, N3...

[0077] Taking an EOD project in Jiaozuo City, Henan Province as an example, this project is an enterprise investment project, and the cooperation model is "social investor + EPC + O", that is, the enterprise and the platform company authorized by the government jointly establish a joint venture company as the implementing entity of this project, responsible for the planning, investment, construction and operation of this project. Delineation of necessary construction projects and variable projects: The structure of this project includes 2 necessary construction projects and 4 variable projects; the necessary construction projects are water supply plants and supporting pipeline network projects M1, abandoned mine management projects M2, and variable projects are distributed photovoltaic construction projects N1, lake water system connection projects N2, rural land comprehensive improvement projects N3, and ecological corridor construction projects N4).

[0078] A total of 16 combinations are set up for two necessary construction projects and four variable projects (M1M2, M1M2N1, M1M2N2, M1M2N3, M1M2N4, M1M2N1N2, M1M2N1N3, M1M2N1N4, M1M2N2N3, M1M2N2N4, M1M2N3N4, M1M2N1N2N3, M1M2N1N2N4, M1M2N1N3N4, M1M2N2N3N4, M1M2N1N2N3, M1M2N1N2N4, M1M2N1N3N4, M1M2N2N3N4, M1M2N1N2N3N4).

[0079] like Figure 1 As shown, in step S200, the project construction goal is decomposed into economic benefit goals, social benefit goals and environmental benefit goals, with maximizing comprehensive benefits as the overall goal of project construction, and project construction constraints are determined.

[0080] Determine the construction objectives of the project: Analyze the necessity of the project construction according to the local conditions, relevant planning, industry needs and owner needs of the construction project, and determine the basic objectives of the project construction, such as maximizing the comprehensive benefits of the EOD project. Decompose the project construction objectives into economic benefit objectives, social benefit objectives and environmental benefit objectives. The objective function is constructed in the following form:

[0081] maxF=a×F em +b×F eg +c×F so

[0082]

[0083]

[0084]

[0085] Among them, F is the comprehensive benefit of EOD project, F em The comprehensive economic benefits of the EOD project, F eg For the comprehensive ecological benefits of EOD projects, F so is the comprehensive social benefit of the EOD project, a, b, c are the weights of comprehensive economic benefit, comprehensive ecological benefit, and comprehensive social benefit, respectively, and n is the number of sub-projects included in the EOD project package. They are the economic benefits, ecological benefits, and social benefits of the first sub-project that can be included in the EOD project package. They are the economic benefit, ecological benefit and social benefit of the nth sub-project that can be included in the EOD project package.

[0086] Determine the constraints of project construction: According to the national regulations, provincial policy guidelines, and local government and owner requirements, clarify the restrictive conditions of investment and determine the constraints of project construction. Specifically include:

[0087] (1) Project type constraints

[0088] Ecological projects and related industry projects meet the requirements of the EOD project implementation guidelines

[0089] (2) Financial indicator constraints

[0090] ①Financial net present value is greater than 0

[0091] ② The internal rate of return of the entire investment is greater than 1.25 times the LPR for more than 5 years

[0092] ③ The internal rate of return of capital is greater than 2 times the LPR for more than 5 years

[0093] …

[0094] (3) Other constraints

[0095] In this embodiment, the project objectives are jointly formulated by the government and social investors, specifically direct economic benefit objectives: after-tax internal rate of return of 5.5% for the total investment, 8% after-tax rate of return on capital, and an investment payback period of 12 years; according to the requirements of the EOD project implementation guidelines for ecological projects and related industry projects, the social benefit goal is to achieve integrated urban and rural water supply in the district to drive the improvement of the living standards of nearby residents; the environmental benefit goal is to enhance water conservation capacity, and Taiji Lake and Sixiang Lake are connected to form an overall water ecological network.

[0096] like Figure 1 As shown, in step S300, necessary construction projects and variable projects are combined to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved respectively to obtain the optimal solutions and maximum comprehensive benefits of different combination schemes.

[0097] During the specific implementation, first of all, based on the project requirements, the weights a, b, c of the comprehensive economic benefits, comprehensive ecological benefits, and comprehensive social benefits are set. Based on the characteristics of this project and the high requirements for ecological and economic benefits, the weights a, b, c are set as follows: 0.4 for economic benefits, 0.4 for ecological benefits, and 0.2 for social benefits.

[0098] Since different benefit goals also include multiple specific indicators, the weights of indicators at each benefit level are set according to different combination schemes, including:

[0099] (1) Economic benefit indicators include internal rate of return and construction investment payback period, with a weight of 0.5 each;

[0100] (2) Social benefit indicators include public satisfaction, with a weight of 1;

[0101] (3) The method for determining the weight of ecological benefit layer indicators is as follows:

[0102] Environmental indicators include water quality indicators, ecological indicators, landscape effects and basin climate indicators, etc. The relative importance of each environmental indicator in solving environmental problems is scored independently in turn, with a score of 0-5, representing irrelevant, generally important, relatively important, important, very important and restrictive indicators respectively. If it is a restrictive indicator, its weight is directly assigned to 1;

[0103] Calculate the weight of each environmental indicator and normalize the scores of each indicator. The weight of each indicator is:

[0104]

[0105] Among them, A i is the importance score of the i-th environmental indicator, a i is the weight of the i-th environmental indicator, and n is the number of environmental indicators.

[0106] According to the local situation and the owner's requirements, the specific implementation engineering content of the necessary and variable projects, including the engineering volume and investment, and the projects involving operating costs and benefits also need to determine the costs and benefits. By setting different project combination scenario plans, taking the maximization of comprehensive benefits as the objective function, considering various constraints, and solving them separately, the optimal scale of each project in different plans is obtained.

[0107] Optimization solution: The solution of this mode is actually an optimization model. The appropriate solution algorithm is selected according to the complexity of the model. It can be solved through conventional planning theory in operations research (including linear programming, nonlinear programming, integer programming and dynamic programming). If the model constraints are nonlinear and mutually coupled, intelligent optimization algorithms can also be selected for solution. Common ones include PSO optimization algorithm (particle swarm optimization algorithm), NSGA-II algorithm (non-dominated sorting genetic algorithm), CS algorithm (cuckoo search algorithm), etc.

[0108] In this embodiment, the PSO optimization algorithm model is used to solve: establish a quantitative relationship between each goal and the project construction content, calculate the project construction target value, and determine whether the established benefit goal is met. If it is met, the project composition is feasible, and the preliminary construction content is determined as the project construction content. If it is not met, the variable project construction content is further optimized. According to the quantitative relationship between the goal and the project construction content, the factors affecting the optimization of the project goal are changed, and the calculation is repeated until the goal is met and the final construction content of the project is determined.

[0109] By optimizing and solving 16 different combination scenario plans, the optimal scale, investment, income and maximum comprehensive benefit of each project under the 16 combinations are obtained.

[0110] like Figure 1 As shown, in step S400, based on the maximum comprehensive benefits of different combination schemes and taking into account multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect values ​​of each combination scheme, and the weighted comprehensive prospect values ​​of each combination scheme are ranked, and the combination scheme with the highest weighted comprehensive prospect value is selected as the most valuable construction scheme.

[0111] In this embodiment, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is established from the comprehensive benefits of 16 combination schemes and the three dimensions of the construction party's investment willingness, investment environment and project maturity of each combination, to quantitatively evaluate the comprehensive prospect value of different combinations. The combination scheme with the highest comprehensive prospect value is preferred. The algorithm of this step is optimized by programming in MATLAB, and the most valuable construction scheme is finally determined.

[0112] The specific contents are as follows:

[0113] (1) Construction of hesitant fuzzy decision matrix: Based on the maximum comprehensive benefits of different combination schemes and related indicators of multi-dimensional environmental factors, the hesitant fuzzy decision matrix X is constructed.

[0114] Specifically, according to the hesitant fuzzy set theory, the hesitant fuzzy decision matrix X of the sample data is constructed. The indicators involved in the EOD project are all benefit indicators, which do not need to be converted and can be directly calculated. All elements in the matrix are sorted from small to large, and the hesitant fuzzy numbers with small cardinality are expanded to ensure that all hesitant fuzzy sets have the same elements.

[0115] (2) Determination of positive and negative ideal points: The positive and negative ideal points of each indicator attribute are calculated based on the matrix X. The calculation formula is as follows:

[0116]

[0117] Where: i represents the i-th solution, j represents the j-th attribute or indicator, x ij represents the possible membership set of each attribute of each scheme; k represents the function of calculating the number of elements in the set, and k0 represents the possible number of values ​​of a certain attribute for a certain scheme.

[0118] (3) Determination of distance measure: Calculate the distance of each solution from the positive and negative ideal points under each attribute. In the attribute q j Next, the i-th solution is as follows:

[0119]

[0120] In the formula: h1, h2 represent two hesitant fuzzy numbers, set k(h1) = k(h2) = k0, and They represent the kth smallest value in h1 and h2 respectively.

[0121] (4) According to the calculation formula of the value function, all solutions are losses relative to the positive ideal point, and all solutions are gains relative to the negative ideal point. Therefore, the prospect value function of each solution relative to the positive and negative ideal points under each attribute is calculated. The calculation formula is as follows:

[0122]

[0123] Where t(y) is the prospect value function in a hesitant fuzzy environment; y0 represents the decision reference point; u, m, and n are parameters, where u = 2.25, m = n = 0.88.

[0124] (5) Determination of comprehensive prospect value: Comprehensive prospect value t ij The calculation formula is as follows:

[0125]

[0126] In the formula, They represent the prospect value of the jth attribute in the ith solution relative to the positive ideal point and the negative ideal point respectively; t ij It represents the comprehensive prospect value of the jth attribute in the i-th solution, and the size is expressed by It is expressed as the ratio of the absolute value of the sum of the distances of all solutions of the corresponding attribute to the positive ideal point.

[0127] (6) Weight calculation: Sort and rank the values ​​in the comprehensive prospect value matrix T obtained by the above calculation. Select a value with a certain frequency as the threshold ε according to the actual situation. Construct a new judgment matrix E by comparing each value in the T matrix with the threshold. If the T matrix is ​​less than ε, the corresponding value in E is 0, and the others are 1. The calculation method is as follows:

[0128]

[0129] In the formula, E represents the judgment matrix; e ij It represents the judgment value of the jth attribute in the i-th scheme; ε represents the set threshold, which is determined according to the actual calculation situation.

[0130] The obtained E matrix is ​​attribute simplified, and the weights of non-redundant attributes are calculated using the following formula, and finally the weight set of each attribute value is obtained:

[0131]

[0132] Where b j represents the necessary attributes in the attribute set Q. The set of all necessary attributes is called the core of the attribute, denoted as core(Q); r represents the approximate quality, W j represents the weight of the jth attribute;

[0133]

[0134] In the formula, |·| represents the cardinality of the set, that is, the number of elements, and P(X) represents the lower approximation set of the set X.

[0135] (7) Determination of weighted comprehensive prospect value: Based on the calculated weights, the weighted comprehensive prospect value of each scheme is calculated. The product of the weight and the comprehensive prospect value is the weighted comprehensive prospect value matrix:

[0136]

[0137] Where P i Represents the weighted comprehensive prospect value of the i-th option.

[0138] Finally, the weighted comprehensive prospect values ​​of the calculated solutions are ranked, and the larger the value, the better the solution.

[0139] The implementation method of the EOD mode project development under multi-objective conditions provided by the embodiment of the present invention can effectively solve the problem of EOD mode project investment and benefit balance under multi-objective conditions, optimize the project benefit composition and scientifically match the construction content, put forward reasonable optimization suggestions for the project construction content, and realize the maximization of comprehensive benefits. The optimal project construction plan is obtained by analyzing the current conditions of the project construction site, the stock analysis of the related assets of the project construction site, and the technical analysis of the proposed engineering project, and the benefits of the completed project are calculated and compared with the established target benefits. If the benefit target is not met, the boundary conditions (project composition requirements, engineering technology, operating conditions, etc.) that affect the benefits are optimized to achieve the optimal solution for quantifiable construction projects under the established goals. The method of the present invention starts with the correlation between EOD mode projects, takes into account the mutual influence between project composition requirements, engineering technology, and operating conditions, and provides a new idea for the EOD mode to achieve the established target benefits under multi-objective conditions, which has a certain practical reference value. After analysis and demonstration by the method of the present invention, the optimal EOD mode balanced development solution can be proposed, and the result can be used to achieve the optimization analysis of achieving the established goals after the EOD mode is invested under multi-objective conditions.

[0140] Corresponding to the above-disclosed method for implementing EOD mode project development under multi-objective conditions, the embodiment of the present invention further discloses a system for implementing EOD mode project development under multi-objective conditions, such as Figure 3 As shown, it specifically includes:

[0141] The project classification module is used to collect and preliminarily screen out projects that meet the requirements of the EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects;

[0142] The goal and constraint establishment module is used to decompose the project construction goals into economic benefit goals, social benefit goals and environmental benefit goals, take the maximization of comprehensive benefits as the overall goal of project construction, and determine the project construction constraints;

[0143] The optimization solution module is used to combine necessary construction projects and variable projects to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes.

[0144] The evaluation module is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme based on the maximum comprehensive benefits of different combination schemes and jointly consider multi-dimensional environmental factors, using a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory, and to rank the weighted comprehensive prospect values ​​of each combination scheme, and to select the combination scheme with the highest weighted comprehensive prospect value as the most valuable construction scheme.

[0145] It should be noted that for the detailed description of the EOD mode project development implementation system under multi-objective conditions provided in an embodiment of the present invention, reference can be made to the relevant description of the EOD mode project development implementation method under multi-objective conditions provided in an embodiment of the present application, which will not be repeated here.

[0146] In addition, an embodiment of the present invention also provides an electronic device, comprising: a processor and a memory; the memory is used to store one or more program instructions; the processor is used to run one or more program instructions to execute the steps of an EOD mode project development implementation method under multi-objective conditions as described in any of the above items.

[0147] It should be noted that for the detailed description of an electronic device provided in an embodiment of the present invention, reference can be made to the relevant description of an EOD mode project development implementation method under multi-objective conditions provided in an embodiment of the present application, which will not be repeated here.

[0148] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for implementing EOD mode project development under multi-objective conditions as described in any of the above items are implemented.

[0149] It should be noted that, for the detailed description of a computer-readable storage medium provided in an embodiment of the present invention, reference can be made to the relevant description of an EOD mode project development implementation method under multi-objective conditions provided in an embodiment of the present application, which will not be repeated here.

[0150] Those skilled in the art will appreciate that all or part of the functions of the various methods in the above-mentioned embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, and the storage medium can include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to implement the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above-mentioned functions can be implemented. In addition, when all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can also be stored in a storage medium such as a server, another computer, disk, optical disk, flash disk or mobile hard disk, and can be downloaded or copied and saved in the memory of the local device, or the system of the local device is updated, and when the program in the memory is executed by the processor, all or part of the functions in the above-mentioned embodiments can be implemented.

[0151] The above specific examples are used to illustrate the present invention, which is only used to help understand the present invention and is not intended to limit the present invention. For those skilled in the art, according to the concept of the present invention, some simple deductions, modifications or substitutions can be made.

Claims

1. A method for implementing EOD model project development under multi-objective conditions, characterized in that: The method comprises: Collect and preliminarily screen out projects that meet the requirements of the EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects; Decompose the project construction objectives into economic benefit objectives, social benefit objectives and environmental benefit objectives, take maximizing comprehensive benefits as the overall goal of project construction, and determine the constraints of project construction; Combine necessary construction projects and variable projects to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, optimize and solve different combination schemes to obtain the optimal solution and maximum comprehensive benefit of different combination schemes. Based on the maximum comprehensive benefits of different combination schemes and joint consideration of multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme. The weighted comprehensive prospect value of each combination scheme is ranked, and the combination scheme with the highest weighted comprehensive prospect value is selected as the most valuable construction scheme.

2. The EOD mode project development implementation method under multi-objective conditions as described in claim 1 is characterized in that: The project construction objectives are broken down into economic benefit objectives, social benefit objectives and environmental benefit objectives, with maximizing comprehensive benefits as the overall project construction objective, including: maxF=a×F em +b×F eg +c×F so Among them, F is the comprehensive benefit of EOD project, F em The comprehensive economic benefits of the EOD project, F eg For the comprehensive ecological benefits of EOD projects, F so is the comprehensive social benefit of the EOD project, a, b, c are the weights of comprehensive economic benefit, comprehensive ecological benefit, and comprehensive social benefit, respectively, and n is the number of sub-projects included in the EOD project package. They are the economic benefits, ecological benefits, and social benefits of the first sub-project that can be included in the EOD project package. They are the economic benefit, ecological benefit and social benefit of the nth sub-project that can be included in the EOD project package.

3. The EOD mode project development implementation method under multi-objective conditions as claimed in claim 1 is characterized in that: Determine the project construction constraints, including: The project construction constraints include: Project type constraints: Ecological projects and related industry projects must meet the requirements of the EOD project implementation guidelines; Financial indicator constraints: internal rate of return, payback period.

4. The method for implementing EOD model project development under multi-objective conditions as claimed in claim 1, characterized in that: Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes, including: According to the project requirements, set the weights a, b, c of comprehensive economic benefits, comprehensive ecological benefits, and comprehensive social benefits; The weights of indicators at each benefit level are set according to different combination schemes, including: The indicators of the economic benefit layer include internal rate of return and construction investment payback period, with a weight of 0.5 each; The indicators of social benefit layer include public satisfaction, with a weight of 1; The method for determining the weight of ecological benefit layer indicators is as follows: Environmental indicators include water quality indicators, ecological indicators, landscape effects and basin climate indicators. The relative importance of each environmental indicator in solving environmental problems is scored independently in turn, with a score of 0-5, representing irrelevant, generally important, relatively important, important, very important and restrictive indicators respectively. If it is a restrictive indicator, its weight is directly assigned to 1; Calculate the weight of each environmental indicator and normalize the scores of each indicator. The weight of each indicator is: Among them, A i is the importance score of the i-th environmental indicator, a i is the weight of the i-th environmental indicator, and n is the number of environmental indicators.

5. The method for implementing EOD model project development under multi-objective conditions as claimed in claim 1, characterized in that: Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes, including: Use the PSO optimization algorithm model to solve: establish a quantitative relationship between each goal and the project construction content, calculate the project construction target value, and determine whether it meets the established benefit goals. If it does, the project composition is feasible, and the preliminary construction content is determined as the project construction content. If it does not meet the requirements, further optimize the variable project construction content. Based on the quantitative relationship between the goal and the project construction content, change the factors that affect the optimization of the project goal, and repeat the calculation until the goal is met and the final construction content of the project is determined.

6. The method for implementing EOD mode project development under multi-objective conditions as claimed in claim 1, characterized in that: Based on the maximum comprehensive benefits of different combination schemes and considering multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme, including: The multi-dimensional environmental factors include the builder's investment intention, investment environment and project maturity factors.

7. The method for implementing EOD model project development under multi-objective conditions as claimed in claim 1, characterized in that: Based on the maximum comprehensive benefits of different combination schemes and considering multi-dimensional environmental factors, a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme, including: Based on the maximum comprehensive benefits of different combination schemes and related indicators of multi-dimensional environmental factors, the hesitant fuzzy decision matrix X is constructed; Where: i represents the i-th solution, j represents the j-th attribute or indicator, x ij Represents the possible membership set of each attribute for each scheme; According to the matrix X, the positive and negative ideal points of each indicator attribute are calculated The calculation formula is as follows: Where: k represents the function of calculating the number of elements in a set, k0 represents the number of possible values ​​of a certain attribute in a certain scheme; Calculate the distance of each scheme from the positive and negative ideal points under each attribute In the attribute q j Next, the i-th solution is as follows: Where: h1 and h2 represent two hesitant fuzzy numbers, k(h1) = k(h2) = k0, α k ∈[0,1], and Respectively represent the kth smallest value in h1 and h2; According to the calculation formula of the value function, all solutions are losses relative to the positive ideal point, and all solutions are gains relative to the negative ideal point. Therefore, the prospect value function of each solution relative to the positive and negative ideal points under each attribute is calculated. The calculation formula is as follows: Where t(y) is the prospect value function in a hesitant fuzzy environment; y0 represents the decision reference point; u, m, and n are parameters, where u = 2.25, m = n = 0.88; Comprehensive prospect value t ij The calculation formula is as follows: In the formula, They represent the prospect value of the jth attribute in the ith solution relative to the positive ideal point and the negative ideal point respectively; t ij It represents the comprehensive prospect value of the jth attribute in the i-th solution, and the size is expressed by It is expressed as the ratio of the absolute value of the sum of the distances of all solutions of the corresponding attribute to the positive ideal point; Sort and rank the values ​​in the comprehensive prospect value matrix T, select a certain frequency value as the threshold ε according to the actual situation, and construct a new judgment matrix E by comparing each value in the T matrix with the threshold. If the T matrix is ​​less than the value of ε, the corresponding value in E is 0, and the others are 1. The calculation method is as follows: In the formula, E represents the judgment matrix; e ij represents the judgment value of the jth attribute in the i-th solution; ε represents the set threshold, which is determined according to the actual calculation situation; The obtained E matrix is ​​attribute simplified, and the weights of non-redundant attributes are calculated using the following formula, and finally the weight set of each attribute value is obtained: Where b j represents the necessary attributes in the attribute set Q. The set of all necessary attributes is called the core of the attribute, denoted as core(Q); r represents the approximate quality, W j represents the weight of the jth attribute; In the formula, |·| represents the cardinality of the set, that is, the number of elements. P (X) represents the lower approximation set of set X; According to the calculated weights, the weighted comprehensive prospect value of each scheme is calculated, and the weighted comprehensive prospect value matrix is ​​obtained by multiplying the weight and the comprehensive prospect value: Where P i Represents the weighted comprehensive prospect value of the i-th option.

8. An EOD model project development and implementation system under multi-objective conditions, characterized in that: The system comprises: The project classification module is used to collect and preliminarily screen out projects that meet the requirements of the EOD implementation guidelines, and then divide the screened projects into necessary construction projects and variable projects; The goal and constraint establishment module is used to decompose the project construction goals into economic benefit goals, social benefit goals and environmental benefit goals, take the maximization of comprehensive benefits as the overall goal of project construction, and determine the project construction constraints; The optimization solution module is used to combine necessary construction projects and variable projects to obtain a variety of different combination schemes. Based on the overall project construction objectives and project construction constraints, different combination schemes are optimized and solved to obtain the optimal solution and maximum comprehensive benefit of different combination schemes. The evaluation module is used to quantitatively evaluate the weighted comprehensive prospect value of each combination scheme based on the maximum comprehensive benefits of different combination schemes and jointly consider multi-dimensional environmental factors, using a multi-attribute comprehensive evaluation system based on hesitant fuzzy sets and prospect theory, and to rank the weighted comprehensive prospect values ​​of each combination scheme, and to select the combination scheme with the highest weighted comprehensive prospect value as the most valuable construction scheme.

9. An electronic device, characterized in that: The device comprises: a processor and a memory; The memory is used to store one or more program instructions; The processor is used to run one or more program instructions to execute the steps of the EOD mode project development implementation method under multi-objective conditions as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for implementing EOD mode project development under multi-objective conditions as described in any one of claims 1 to 7 are implemented.

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