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author:

Wang, Ze-Lin (Wang, Ze-Lin.) [1] | Wang, Ying-Ming (Wang, Ying-Ming.) [2] (Scholars:王应明)

Indexed by:

EI PKU CSCD

Abstract:

Aiming at the situation that the weights of decision makers and criteria are both unknown in group decision making progress, we propose a liner method of multi-attribute decision making based on 2-dimension 2-tuple linguistic representation model. Considering the relative importance of the first dimensional information and the second dimensional information of 2-dimension 2-tuple linguistic information, the score function and distance measures, which can reflect the impact of the change of the proportion of the relative importance on the score function for comparing two 2-dimension 2-tuple linguistic information and distance measures between them, are proposed. Then, decision makers' weight and criteria weight are solved simultaneously by constructing a model that the objective function is set up based on the score function and distance measures, and constraint conditions are established based on the entropy value of decision makers. Furthermore, the corresponding weights information which makes each alternative optimal is obtained by solving different models, then the optimal alternative and rank alternatives are chosen according to the value of the objective function. Finally, the case analysis and comparison verify the effectiveness and scientificalness of the proposed method. © 2019, Editorial Office of Control and Decision. All right reserved.

Keyword:

Decision making Linguistics

Community:

  • [ 1 ] [Wang, Ze-Lin]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wang, Ying-Ming]Decision Sciences Institute, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Wang, Ying-Ming]Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • 王应明

    [wang, ying-ming]decision sciences institute, fuzhou university, fuzhou; 350116, china;;[wang, ying-ming]key laboratory of spatial data mining & information sharing of ministry of education, fuzhou university, fuzhou; 350116, china

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Source :

Control and Decision

ISSN: 1001-0920

Year: 2019

Issue: 9

Volume: 34

Page: 1999-2009

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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