The result greyness problem of the grey relational analysis and its solution

Article type: Research Article

Authors: Zhang, Jinhua^a | Zhang, Qishan^b | Zhang, Jinxin^{c; d; *}

Affiliations: [a] School of Economics and Management, Fuzhou University, Fuzhou, China | [b] Xianda College of Economics and Humanities, Shanghai International Studies University, Shanghai, China | [c] Business School, Hubei University, Wuhan, China | [d] Chinese Agricultural and Typical Industry Carbon Emission Reduction and Carbon Trading Research Center, Hubei University, Wuhan, China

Correspondence: [*] Corresponding author. Jinxin Zhang. E-mail: [email protected].

Abstract: This paper discusses how to deal with the greyness problem in the system from the perspective of “result”. Aiming at the greyness problem of the traditional grey relational analysis result, an information fusion grey relational analysis method based on D-S evidence theory and multi solution information fusion is proposed, which mends the traditional grey relational analysis method. The results show that the method proposed in the study has better effect than the traditional grey relational analysis method, and has higher accuracy in the wear particle identification, which indicates that it can further expand the application scope of the grey relational analysis method.

Keywords: Grey relational analysis, greyness of grey relational analysis, D-S evidence theory, information fusion

DOI: 10.3233/JIFS-223323

Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6079-6088, 2023