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整体性分析和逆向邓氏灰色关联分析模型

王文平 马政

东南大学学报(英文版)2023,Vol.39Issue(3):248-255,8.
东南大学学报(英文版)2023,Vol.39Issue(3):248-255,8.DOI:10.3969/j.issn.1003-7985.2023.03.005

整体性分析和逆向邓氏灰色关联分析模型

Integrity analysis and inverse Deng's grey relational analysis model

王文平 1马政2

作者信息

  • 1. 东南大学经济管理学院,南京211189||东南大学国家发展与政策研究院,南京211189
  • 2. 中国电信研究院战略发展研究所,上海200122
  • 折叠

摘要

Abstract

An inverse Deng's grey relational analysis model is established to identify and quantify the inverse relationships in the system from a holistic perspective. The axiom system containing inverse relationships is constructed based on the four axioms of grey relational analysis. The inverse Deng's grey relational analysis model is established by introducing the incidence direction vector, and the incidence direction of factors is identified using an agenetic algorithm. The rationality and effectiveness of the proposed model are verified by identifying the key relevant factors of the innovation chain quality in Jiangsu. The case analysis shows that the inverse grey relational analysis model identifies the knowledge innovation link of the process characteristic as the inverse relational factor of Jiangsu innovation chain quality, with a relational degree of -0. 815. Compared with the other four typical grey relational analysis models, its incidence direction and strength judgment are more reasonable. The proposed model can effectively identify and quantify inverse relationships while ensuring analysis integrity, which broadens the application scope of Deng's grey relational analysis model.

关键词

逆向邓氏灰色关联分析/灰色关联公理/灰色关联度/遗传算法

Key words

inverse Deng's grey relational analysis/grey relational axiom/grey relational degree/genetic algorithm

分类

自科综合

引用本文复制引用

王文平,马政..整体性分析和逆向邓氏灰色关联分析模型[J].东南大学学报(英文版),2023,39(3):248-255,8.

基金项目

The National Natural Science Foundation of China(No.71973023,42277493),the Social Science Foundation of Jiangsu Province(No.19GLA003),the Soft Science Research Program of Jiang-su Province(No.BR2019043). (No.71973023,42277493)

东南大学学报(英文版)

1003-7985

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