CN-121981607-A - Comprehensive evaluation method, equipment and medium for regional development quality based on weight fusion

CN121981607ACN 121981607 ACN121981607 ACN 121981607ACN-121981607-A

Abstract

The application discloses a comprehensive evaluation method, equipment and medium for regional development quality based on weight fusion, and relates to the field of regional development quality evaluation, wherein the method comprises the steps of obtaining multi-dimensional evaluation index data of a region to be evaluated, carrying out data statistics and standardization processing to obtain the processed multi-dimensional evaluation index data, and then determining entropy weight, normalization weight and linear normalization weight of each index by an entropy weight method, a CRITIC method and a MAR-IDW method respectively; according to the fusion weights of the indexes, a TOPSIS method for improving positive and negative ideal solutions based on quantiles is utilized to determine the comprehensive evaluation index of the region to be evaluated so as to determine the development quality of the region to be evaluated. The application can realize more accurate comprehensive evaluation of regional development quality.

Inventors

YUAN LIHUA
ZHAO ZIHUI
ZHANG RUIZHUO
ZHANG AO
LIU YUYAN
HONG YING

Assignees

北华航天工业学院

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (10)

1. The comprehensive evaluation method for the regional development quality based on weight fusion is characterized by comprising the following steps of: Acquiring multi-dimensional evaluation index data of a region to be evaluated; the multi-dimensional evaluation index data comprises an economic development level index, an economic benefit index, an economic structure index, a technology input intensity index, an education input intensity index, a human input intensity index, a technology output quantity index, a regional coordination index, an urban and rural industry coordination index, an urban and rural binary coordination index, an urban and rural income coordination index, an industrial wastewater discharge level index, a solid waste comprehensive utilization rate index, an air environment quality index, an external trade level index, an external resource utilization capacity index, a human average available income index, a human average consumption amount index, a number of per ten thousand doctors index and a per hundred people public library collection index, the economic development level index comprises human average GDP, the economic benefit index comprises human average financial income index, the economic structure index comprises an industrial structure advanced index and a third industry occupied GDP proportion, the technology input intensity index comprises a scientific technical financial expenditure/public financial expenditure, the education cost intensity index comprises an educational expenditure/financial public cost, the human input intensity index comprises a value of ten thousand students in a large school, the output quantity comprises a human patent quantity index comprises a human authorized quantity index, the urban and urban industry public waste comprehensive utilization rate GDP proportion, the urban and rural industry waste comprehensive utilization rate comprises a public GDP proportion of the urban and third industry occupied GDP proportion The average PM2.5 concentration is included, the external trade degree index comprises import and export total sum/GDP, the external resource utilization capacity index comprises actual utilization of external resource sum/GDP, the average available income index comprises average available income, the average consumption index comprises social consumption retail sum/total population, the doctor count index comprises doctor count/population count of every ten thousands people, and the public library collection index comprises public library collection volume/total population; Carrying out data statistics and standardization processing on the multi-dimensional evaluation index data to obtain processed multi-dimensional evaluation index data; According to the processed multidimensional evaluation index data, determining an entropy weight, a normalization weight and a linear normalization weight of each index by using an entropy weight method, a CRITIC method and a MAR-IDW method respectively; Determining fusion weights of the indexes by utilizing an adaptive weight fusion strategy according to the entropy weight, the normalization weight and the linear normalization weight of the indexes; And determining the comprehensive evaluation index of the region to be evaluated by using a TOPSIS method for improving positive and negative ideal solutions based on quantiles according to the fusion weights of the indexes so as to determine the development quality of the region to be evaluated.
2. The comprehensive evaluation method for regional development quality based on weight fusion according to claim 1, wherein the data statistics and standardization processing are performed on the multi-dimensional evaluation index data to obtain the processed multi-dimensional evaluation index data, and the method specifically comprises the following steps: Carrying out data statistics on the multi-dimensional evaluation index data to obtain an average value, a standard deviation, a variation coefficient, 5% -95% quantile, 10% -90% quantile and 2% -98% quantile of each index, wherein the variation coefficient is determined according to the standard deviation and the average value; And carrying out maximum normalization treatment on each index according to the variation coefficient, the 5% -95% fractional number, the 10% -90% fractional number and the 2% -98% fractional number of each index to obtain the treated multi-dimensional index number.
3. The comprehensive evaluation method for regional development quality based on weight fusion according to claim 1, wherein the determining the entropy weight of each index by using the entropy weight method according to the processed multidimensional evaluation index data specifically comprises: calculating the normalized proportion of each index in the region to be evaluated; determining the information entropy of each index according to the normalized proportion of each index; and determining the entropy weight of each index according to the information entropy of each index.
4. The comprehensive evaluation method for regional development quality based on weight fusion according to claim 1, wherein determining the normalized weight of each index by CRITIC method according to the processed multidimensional evaluation index data specifically comprises: Determining a correlation coefficient matrix according to the processed multi-dimensional evaluation index data; based on the correlation coefficient matrix, determining the conflict between the indexes; Determining the information quantity of each index according to the processed multidimensional evaluation index data and the correlation coefficient matrix; determining the weight of each index according to the conflict and the information quantity of each index; And carrying out normalization processing on the weights of the indexes to obtain the normalized weights of the indexes.
5. The comprehensive evaluation method for regional development quality based on weight fusion according to claim 1, wherein the linear normalization weight of each index is determined by a MAR-IDW method according to the processed multidimensional evaluation index data, and specifically comprises: constructing an absolute ideal region of each index according to the processed multidimensional evaluation index data, wherein the absolute ideal region is a region index set to be evaluated, and the absolute ideal region index set reaches an absolute ideal threshold value on the corresponding index; determining a conditional ideal region mean matrix according to the absolute ideal region; Constructing an ideal deviation matrix according to the condition ideal area mean matrix; summing the ideal deviation matrixes according to rows and columns respectively to obtain row deviation and column deviation; Fusing the row deviation and the column deviation to obtain the comprehensive deviation of each index; And carrying out linear normalization processing on the comprehensive deviation to obtain linear normalization weights of all indexes.
6. The comprehensive evaluation method of regional development quality based on weight fusion according to claim 1, wherein determining the fusion weight of each index by using an adaptive weight fusion strategy according to the entropy weight, the normalization weight and the linear normalization weight of each index specifically comprises: determining a product fusion weight of each index based on the entropy weight, the normalization weight and the linear normalization weight of each index; determining arithmetic average weights of the indexes based on the entropy weight, the normalization weight and the linear normalization weight of the indexes; determining the weight variation coefficient of each index according to the entropy weight, the normalization weight and the linear normalization weight of each index; determining average variation coefficients of all indexes according to the weight variation coefficients of all indexes; generating a fusion coefficient according to the average variation coefficient; And determining the fusion weight of each index according to the fusion coefficient, the product fusion weight and the arithmetic average weight.
7. The comprehensive evaluation method of regional development quality based on weight fusion according to claim 1, wherein the comprehensive evaluation index of the region to be evaluated is determined by using a TOPSIS method for improving positive and negative ideal solutions based on quantiles according to the fusion weights of the indexes, and specifically comprises the following steps: determining a weighted decision matrix according to the processed multi-dimensional evaluation index data and the fusion weights of the indexes; Determining positive ideal solutions and negative ideal solutions of all indexes according to the weighted decision matrix; Determining the distance between the region to be evaluated and the ideal solution; determining the distance between the region to be evaluated and the negative ideal solution; and determining the comprehensive evaluation index of the region to be evaluated according to the distance between the region to be evaluated and the positive ideal solution and the distance between the region to be evaluated and the negative ideal solution.
8. The comprehensive evaluation method for regional development quality based on weight fusion according to claim 1, further comprising: and determining a weighted score of each index according to the processed multi-dimensional evaluation index data and the fusion weight of each index so as to determine the development quality short plate of the region to be evaluated.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to implement the zone development quality comprehensive assessment method based on weight fusion according to any one of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the region development quality comprehensive evaluation method based on weight fusion according to any one of claims 1 to 8.

Description

Comprehensive evaluation method, equipment and medium for regional development quality based on weight fusion Technical Field The application relates to the field of regional development quality evaluation, in particular to a regional development quality comprehensive evaluation method, equipment and medium based on weight fusion. Background With the advancement of regional high quality development, how to scientifically evaluate the regional development quality level has become an important task for various levels of government and decision-making departments. The evaluation of regional development quality generally relates to multi-dimensional index systems such as economy, society, ecology and the like, and the indexes have obvious difference and strong correlation. Traditional evaluation methods often rely on a maximum-minimum normalization method, are susceptible to abnormal values, and result in larger fluctuation and poorer stability of evaluation results. Meanwhile, although the existing objective weighting methods (such as an entropy weighting method and a CRITIC method) can partially reflect the data distribution characteristics, only single dimensions such as index dispersion or correlation are often concerned, and the mutual relation and dynamic change among indexes are difficult to comprehensively reveal. Meanwhile, when the evaluation data presents multidimensional and nonlinear characteristics, a single weight model is easy to deviate, and the scientificity, reliability and accuracy of an evaluation result are reduced. Therefore, there is a need for a comprehensive weight determination method that can integrate multiple objective weighting mechanisms, enhance computational stability, and adapt to complex regional data structures, so as to improve the accuracy and robustness of regional development quality evaluation, and provide more scientific basis for government decision-making and policy formulation. Disclosure of Invention The application aims to provide a comprehensive evaluation method, equipment and medium for regional development quality based on weight fusion, so as to realize more accurate comprehensive evaluation for regional development quality. In order to achieve the above object, the present application provides the following solutions: In a first aspect, the present application provides a comprehensive evaluation method for regional development quality based on weight fusion, including: Acquiring multi-dimensional evaluation index data of a region to be evaluated; the multi-dimensional evaluation index data comprises an economic development level index, an economic benefit index, an economic structure index, a technology input intensity index, an education input intensity index, a human input intensity index, a technology output quantity index, a regional coordination index, an urban and rural industry coordination index, an urban and rural binary coordination index, an urban and rural income coordination index, an industrial wastewater discharge level index, a solid waste comprehensive utilization rate index, an air environment quality index, an external trade level index, an external resource utilization capacity index, a human average available income index, a human average consumption amount index, a number of per ten thousand doctors index and a per hundred people public library collection index, the economic development level index comprises human average GDP, the economic benefit index comprises human average financial income index, the economic structure index comprises an industrial structure advanced index and a third industry occupied GDP proportion, the technology input intensity index comprises a scientific technical financial expenditure/public financial expenditure, the education cost intensity index comprises an educational expenditure/financial public cost, the human input intensity index comprises a value of ten thousand students in a large school, the output quantity comprises a human patent quantity index comprises a human authorized quantity index, the urban and urban industry public waste comprehensive utilization rate GDP proportion, the urban and rural industry waste comprehensive utilization rate comprises a public GDP proportion of the urban and third industry occupied GDP proportion The average PM2.5 concentration is included, the external trade degree index comprises import and export total sum/GDP, the external resource utilization capacity index comprises actual utilization of external resource sum/GDP, the average available income index comprises average available income, the average consumption index comprises social consumption retail sum/total population, the doctor count index comprises doctor count/population count of every ten thousands people, and the public library collection index comprises public library collection volume/total population; Carrying out data statistics and standardization processing on the multi-dimensional evaluation i