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author:

Zhang, X. (Zhang, X..) [1] | Wang, Y. (Wang, Y..) [2] | Chen, S. (Chen, S..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

A group decision making method based on evidential reasoning rule under conflicting interval belief structures was proposed to solve the problem of interval belief structures combination, considering the conflict expert opinions in the group decision-making environment. Firstly, group decision-making problems were formed based on the evaluation information of decision makers (or experts) on alternatives. Expert evaluation information (points of view) was taken as evidence, and the validity of evaluation information was checked and normalized. Secondly, the expert weight vector was determined by the support of the evidence, and all the evaluation information was fused with the evidential reasoning rule. Finally, the minimum and maximum regret value method was used to select the optimal scheme. The case analysis shows that the proposed method has consistent evidence fusion results in the process of evidence combination, and the combination results are reasonable and convergent. In addition, the specificity of the evidence can also be maintained. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.

Keyword:

Evaluation information; Evidential reasoning rule; Group decision making; Interval belief structure; Minimum and maximum regret value method

Community:

  • [ 1 ] [Zhang, X.]Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 2 ] [Zhang, X.]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 3 ] [Zhang, X.]School of Architecture Engineering, Tongling University, Tongling, Anhui 244061, China
  • [ 4 ] [Wang, Y.]Decision Sciences Institute, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 5 ] [Wang, Y.]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, Fujian 350116, China
  • [ 6 ] [Chen, S.]Information Engineering Department, Fujian Business University, Fuzhou, Fujian 350506, China

Reprint 's Address:

  • [Wang, Y.]Decision Sciences Institute, Fuzhou UniversityChina

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Source :

Journal of South China University of Technology (Natural Science)

ISSN: 1000-565X

Year: 2020

Issue: 6

Volume: 48

Page: 134-142

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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