[1] Wang Wenping, Ma Zheng,. Integrity analysis and inverse Deng’s grey relationalanalysis model [J]. Journal of Southeast University (English Edition), 2023, 39 (3): 248-255. [doi:10.3969/j.issn.1003-7985.2023.03.005]

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Integrity analysis and inverse Deng’s grey relationalanalysis model()

整体性分析和逆向邓氏灰色关联分析模型

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

39

Issue:

2023 3

Page:

248-255

Research Field:

Economy and Management

Publishing date:

2023-09-20

Info

Title:

Integrity analysis and inverse Deng’s grey relationalanalysis model

整体性分析和逆向邓氏灰色关联分析模型

Author(s):

Wang Wenping¹;  2;  Ma Zheng³

¹School of Economics and Management, Southeast University, Nanjing 211189, China
²National School of Development and Policy, Southeast University, Nanjing 211189, China
³Institute of Strategic Development, China Telecom Research Institute, Shanghai 200122, China

王文平¹;  2;  马政³

¹东南大学经济管理学院, 南京 211189; ²东南大学国家发展与政策研究院, 南京211189; ³中国电信研究院战略发展研究所, 上海200122

Keywords:

inverse Deng’s grey relational analysis;  grey relational axiom;  grey relational degree;  genetic algorithm

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

PACS:

N941.5

DOI:

10.3969/j.issn.1003-7985.2023.03.005

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.

为了从整体上识别和量化系统中的逆向关联关系, 建立了一个逆向邓氏灰色关联分析模型. 基于灰关联四公理, 构建包含逆向关联关系的公理体系;引入关联方向向量, 建立逆向邓氏灰色关联分析模型, 并采用遗传算法识别因子的关联方向;以江苏创新链质量的关键影响因素识别为例, 检验所提出模型的合理性与有效性.案例分析结果表明, 逆向邓氏灰色关联分析模型将过程特性下的知识创新环节识别为江苏创新链质量的逆向关联因素, 且关联度为-0.815.对比其他4种典型灰色关联分析模型, 其对关联方向和强度的判断更加合理.所提出模型在保证整体性分析的同时, 可以有效识别并量化逆向关联关系, 拓宽了邓氏灰关联分析模型的应用范围.

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Memo

Memo:

Biography: Wang Wenping(1966—), female, doctor, professor, wpwang@seu.edu.cn.
Foundation items: 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 Jiangsu Province(No.BR2019043).
Citation: Wang Wenping, Ma Zheng. Integrity analysis and inverse Deng’s grey relational analysis model[J].Journal of Southeast University(English Edition), 2023, 39(3):248-255.DOI:10.3969/j.issn.1003-7985.2023.03.005.

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