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author:

Liu, Jiacai (Liu, Jiacai.) [1] | Li, Dengfeng (Li, Dengfeng.) [2]

Indexed by:

EI Scopus PKU CSCD

Abstract:

To reflect the uncertainty and fuzziness during the process of supply chain information sharing synthetically more felicitously, a quadratic programming model based on the optimal integrative degree of enterprises' satisfaction in the supply chain with least square method was constructed for solving cooperative games with coalition values expressed by triangular intuitionistic fuzzy numbers. On this basis, the lower, mean and upper bounds of triangular intuitionistic fuzzy number payoff of each player were easily computed. Moreover, according to the improved algebraic operations, the membership degree and nonmembership degrees of triangular intuitionistic fuzzy number payoff of each player were obtained. A numerical example was given to illustrate the proposed models and method, and the result showed that the information distortion and the uncertainty amplification could be effectively avoided by considering the triangular intuitionistic fuzzy number optimal allocation and its membership degree and non-membership degree. © 2018, Editorial Department of CIMS. All right reserved.

Keyword:

Algebra Fuzzy rules Game theory Information analysis Information dissemination Least squares approximations Numerical methods Profitability Quadratic programming Supply chains

Community:

  • [ 1 ] [Liu, Jiacai]College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou; 350002, China
  • [ 2 ] [Liu, Jiacai]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Li, Dengfeng]School of Economics and Management, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 李登峰

    [li, dengfeng]school of economics and management, fuzhou university, fuzhou; 350108, china

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Source :

Computer Integrated Manufacturing Systems, CIMS

ISSN: 1006-5911

CN: 11-5946/TP

Year: 2018

Issue: 4

Volume: 24

Page: 1057-1064

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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