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Author:

Kang, X. (Kang, X..) | Xu, X. (Xu, X..) | Yang, Z. (Yang, Z..)

Indexed by:

Scopus SCIE

Abstract:

With the vigorous development of the global economy, modern enterprises have agreed to implement green supply chain management. The evaluation and selection of green suppliers plays a vital role in successful green supply chain management. As a multi-attribute group decision-making green supplier selection problem, it is difficult to fully describe the evaluation factors using precise numerical values and classical fuzzy sets, so it cannot assist enterprise managers in making completely reasonable decisions. Therefore, this paper proposes a green supplier evaluation and selection method based on interval BPA-based intuitionistic fuzzy sets. First, build a green supplier evaluation index system based on the characteristics of the papermaking enterprise's suppliers. Then, the intuitionistic fuzzy number is used to express the indicators of the evaluator for each supplier, and the intuitionistic fuzzy information is integrated through the organic combination of the IIFWA integration operator and the structural entropy weight to obtain the comprehensive evaluation value of the evaluator. Finally, the interval BPA-based intuitionistic fuzzy set method ranks the candidate suppliers and determines the best green supplier. Applying this method to the field of green supplier evaluation and selection can provide an effective method for enterprises to select suppliers scientifically and reasonably, which has practical reference value and practical significance. © 2022, The Author(s).

Keyword:

IIFWA operator Interval-valued intuitionistic fuzzy set Green supplier selection Interval evidence theory Structural entropy method

Author Community:

  • [ 1 ] [Kang, X.]School of Economics and Management, Harbin University of Science and Technology, No. 52 Xuefu Road, Nangang District, Harbin, China
  • [ 2 ] [Xu, X.]School of Economics and Management, Harbin University of Science and Technology, No. 52 Xuefu Road, Nangang District, Harbin, China
  • [ 3 ] [Yang, Z.]College of Economics and Management, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing, China

Reprint Author's Address:

  • [Yang, Z.]College of Economics and Management, No. 100, Pingleyuan, Chaoyang District, China

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Source :

Complex and Intelligent Systems

ISSN: 2199-4536

Year: 2022

Issue: 5

Volume: 8

Page: 4187-4203

5 . 8

JCR@2022

5 . 8 0 0

JCR@2022

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Affiliated Colleges:

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