An Interval- Valued Hesitant Fuzzy Ranking Method based on Group Decision Analysis for Green Supplier Selection

The green supplier selection is one of the popular multiple attribute group decision making (MAGDM) problems. The spherical fuzzy sets (SFSs) can fully express the complexity and fuzziness of evaluation information for green supplier selection. Furthermore, the classic MABAC (multi-attributive border approximation area comparison) method based on the cumulative prospect theory (CPT-MABAC) is designed, which is an optional method in reflecting the psychological perceptions of decision makers (DMs). Therefore, in this article, we propose a spherical fuzzy CPT-MABAC (SF-CPT-MABAC) method for MAGDM issues. Meanwhile, considering the different preferences of DMs to attribute sets, we obtain the objective weights of attributes through entropy method. Focusing on the current popular problems, this paper applies the proposed method for green supplier selection and proves for green supplier selection based on SF-CPT-MABAC method. Finally, by comparing existing methods, the effectiveness of the proposed method is certified.

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A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment

Expert Systems with Applications ◽

10.1016/j.eswa.2018.12.010 ◽

2019 ◽

Vol 121 ◽

pp. 1-17 ◽

Cited By ~ 81

Author(s):

Chunxia Yu ◽

Yifan Shao ◽

Kai Wang ◽

Luping Zhang

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Fuzzy Environment ◽

Sustainable Supplier Selection ◽

Selection Approach ◽

Interval Valued

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An Approach of Interval-Valued Picture Fuzzy Uncertain Linguistic Aggregation Operator and Their Application on Supplier Selection Decision-Making in Logistics Service Value Concretion

Mathematical Problems in Engineering ◽

10.1155/2021/8873230 ◽

2021 ◽

Vol 2021 ◽

pp. 1-19

Author(s):

Muhammad Naeem ◽

Muhammad Qiyas ◽

Saleem Abdullah

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Multiple Criteria ◽

Service Value ◽

Logistics Service ◽

Criteria Weights ◽

Selection Decision ◽

Interval Valued

With respect to multiple criteria group decision-making (MCGDM) problems in which both the criteria weights and the expert weights take the form of crisp numbers and attribute values take the form of interval-valued picture fuzzy uncertain linguistic numbers, some new group decision-making analysis methods are developed. Firstly, some operational laws, expected value, and accuracy function of interval-valued picture fuzzy uncertain linguistic numbers are introduced. Then, an interval-valued picture fuzzy uncertain linguistic averaging and geometric aggregation operators are developed. Furthermore, some desirable properties of the developed operators, such as commutativity, idempotency, and monotonicity, have been studied. Based on these operators, an approach to multiple criteria group decision-making with interval-valued picture fuzzy uncertain linguistic information has been proposed. Finally, a practical example of 3PL supplier selection in logistics service value concretion is taken to test the defined method and to expose the effectiveness of the defined model.

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An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-17467 ◽

2019 ◽

Vol 36 (2) ◽

pp. 1855-1866 ◽

Cited By ~ 4

Author(s):

N. Foroozesh ◽

R. Tavakkoli-Moghaddam ◽

S. Meysam Mousavi

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Selection Problem ◽

Sustainable Supplier Selection ◽

Supplier Selection Problem ◽

Interval Valued

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A new integrated generalized multi-criteria group decision making approach for green supplier selection

Uncertain Supply Chain Management ◽

10.5267/j.uscm.2020.6.005 ◽

2020 ◽

pp. 813-820

Author(s):

Anh Duc Do ◽

Van Loi Ta ◽

Chi Dung Canh ◽

Quang Tuan Ta ◽

Huu Van Luu

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Green Supplier Selection

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Three-way group decisions under hesitant fuzzy linguistic environment for green supplier selection

Kybernetes ◽

10.1108/k-09-2019-0602 ◽

2020 ◽

Vol 49 (12) ◽

pp. 2919-2945 ◽

Cited By ~ 1

Author(s):

Weimin Ma ◽

Wenjing Lei ◽

Bingzhen Sun

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Supplier Selection ◽

Group Decision ◽

Group Decisions ◽

Content Type ◽

Green Supplier Selection ◽

Strategic Role ◽

Fuzzy Linguistic ◽

Selection Of

Purpose The purpose of this paper is to propose a three-way group decision-making approach to address the selection of green supplier, by extending decision-theoretic rough set (DTRS) into hesitant fuzzy linguistic (HFL) environment, considering the flexible evaluation expression format of HFL term set (HFLTS) and the idea of minimum expected risk in DTRS. Design/methodology/approach Specifically, the authors first present the calculation method of the conditional probability and discuss the loss functions of DTRS with HFL element (HFLE), along with some associated properties being investigated in detail. Further, three-way group decisions rules can be deduced, followed by the cost of every green supplier candidate. Thus, based on these discussions, a novel green supplier selection DTRS model that combines multi-criteria group decision-making (MCGDM) and HFLTS is designed. Findings A numerical example of green supplier selection, the comparative analysis and associated discussions are conducted to illustrate the applicability and novelty of the presented model. Practical implications The selection of green supplier has played a critically strategic role in sustainable enterprise development due to continuous environmental concerns. This paper offers an insight for companies to select green supplier selection from the perspective of three-way group decisions. Originality/value This paper uses three-way decisions to address green supplier selection in the HFL context, which is considered as a MCGDM issue.

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SIGNED DISTANCED-BASED TOPSIS METHOD FOR MULTIPLE CRITERIA DECISION ANALYSIS BASED ON GENERALIZED INTERVAL-VALUED FUZZY NUMBERS

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622011004749 ◽

2011 ◽

Vol 10 (06) ◽

pp. 1131-1159 ◽

Cited By ~ 30

Author(s):

TING-YU CHEN

Keyword(s):

Decision Analysis ◽

Supplier Selection ◽

Fuzzy Numbers ◽

Multiple Criteria ◽

Decision Makers ◽

Multiple Criteria Decision Analysis ◽

Topsis Method ◽

Order Preference ◽

Priority Order ◽

Interval Valued

The theory of interval valued fuzzy sets is very valuable for modeling impressions of decision makers. In addition, it gives ability to quantify the ambiguous nature of subjective judgments in an easy way. In this paper, by extending the technique for order preference by similarity to ideal solution (TOPSIS), it is proposed a useful method based on generalized interval valued trapezoidal fuzzy numbers (GITrFNs) for solving multiple criteria decision analysis (MCDA) problems. In view of complexity in handling sophisticated data of GITrFNs, this paper employs the concept of signed distances to establish a simple and effective MCDA method based on the main structure of TOPSIS. An algorithm based on TOPSIS method is established to determine the priority order of given alternatives by using properties of signed distances. Finally, the feasibility of the proposed method is illustrated by a practical example of supplier selection.

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