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author:

Zhang, Jinhua (Zhang, Jinhua.) [1] | Zhang, Qishan (Zhang, Qishan.) [2] | Zhang, Jinxin (Zhang, Jinxin.) [3]

Indexed by:

EI

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. © 2023 - IOS Press. All rights reserved.

Keyword:

Artificial intelligence Information fusion

Community:

  • [ 1 ] [Zhang, Jinhua]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Qishan]Xianda College of Economics and Humanities, Shanghai International Studies University, Shanghai, China
  • [ 3 ] [Zhang, Jinxin]Business School, Hubei University, Wuhan, China
  • [ 4 ] [Zhang, Jinxin]Chinese Agric. and Typical Industry Carbon Emission Reduction and Carbon Trading Research Center, Hubei University, Wuhan, China

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Source :

Journal of Intelligent and Fuzzy Systems

ISSN: 1064-1246

Year: 2023

Issue: 4

Volume: 44

Page: 6079-6088

1 . 7

JCR@2023

1 . 7 0 0

JCR@2023

ESI HC Threshold:32

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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