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

Darabi, Saadallah; Heydari, Jafar

doi:10.1016/j.ifacol.2016.03.003

Cited by 26 publications

(15 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Darabi and Heydari [33] proposed an interval-valued hesitant fuzzy ranking method to rank the green suppliers candidates under conflicted criteria. Kuo et al [34] developed a green supplier selection model which integrates artificial neural network (ANN) and DEA and ANP.…”

Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

“…Due to the fuzziness of judgment, fuzzy set theory is always used in supplier selection, such as literatures [6,33,35], while fuzzy set theory needs to nondimensionalize the criteria, which will bring much calculating work. In particular, when there are many qualitative criteria, it is difficult to compare or quantify them.…”

Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

See 1 more Smart Citation

A Fuzzy‐Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low‐Carbon Supply Chain

Pang

Yang

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Due to the increasing awareness of global warming and environmental protection, many practitioners and researchers have paid much attention to the low-carbon supply chain management in recent years. Green supplier selection is one of the most critical activities in the low-carbon supply chain management, so it is important to establish the comprehensive criteria and develop a method for green supplier selection in low-carbon supply chain. The paper proposes a fuzz-grey multicriteria decision making approach to deal with these problems. First, the paper establishes 4 main criteria and 22 subcriteria for green supplier selection. Then, a method integrating fuzzy set theory and grey relational analysis is proposed. It uses the membership function of normal distribution to compare each supplier and uses grey relation analysis to calculate the weight of each criterion and improves fuzzy comprehensive evaluation. The proposed method can make the localization of individual green supplier more objectively and more accurately in the same trade. Finally, a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach.

show abstract

Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

Section: Methods For Green Supplier Selectionmentioning

confidence: 99%

A Fuzzy‐Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low‐Carbon Supply Chain

Pang

Yang

et al. 2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Tsui et al [39] came up with a hybrid MCGDM method based on entropy and AHP to assess GSS problems in manufacturing enterprise. Based on group decision analysis, Darabi and Heydari [40] presented an interval-valued hesitant fuzzy ranking method for selecting green suppliers. Gitinavard et al [41] developed a unique interval-valued hesitant fuzzy group outranking method for choosing green suppliers.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Group Decision Making Model for Green Supplier Selection under the Ordered Weighted Hesitant Fuzzy Environment

2018

View full text Add to dashboard Cite

The green supplier selection (GSS) problem is one of the most pressing issues that can directly affect manufacturer performance. GSS has been studied in previous literature, which is considered to be a typical multiple criteria group decision making (MCGDM) problemThe ordered weighted hesitant fuzzy MCGDM method can present the importance of each possible value, and the priority relationship among criteria has rarely been studied. In this study, we first extend the prioritized average (PA) operator to the ordered weighted hesitant fuzzy set (OWHFS) for solving the both problems. The generalized ordered weighted hesitant fuzzy prioritized weighted average operator (GOWHFPWA) is recommended, and some desirable properties are discussed. Based on this operator, a novel MCGDM method for GSS is developed. A numerical example of GSS is then given to prove the robustness of the proposed approach, and a sensitivity analysis is used to identify the robustness of the proposed method. Finally, a comparative analysis based on the MCGDM approach with the hesitant fuzzy prioritized weighted average (HFPWA) operator is illustrated to indicate the validity and advantages of the proposed approach.

show abstract

“…Li et al [30] proposed an extended qualitative flexible multiple (QUALIFLEX) method to solve problems regarding the selection of green suppliers using probability hesitant fuzzy information. Darabi and Heydari [31] used the fuzzy entropy method based on group decision analysis for green supplier selection under the interval-valued hesitant fuzzy environment. Awasthi and Kannan [32] discussed the green supplier development program using the nominal group technique and the vlsekriterijumska optimizacija I kompromisno resenje (VIKOR) method under fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

A Study on Green Supplier Selection in Dynamic Environment

et al. 2018

View full text Add to dashboard Cite

Abstract:The aim of this paper is to provide a method for selecting a green supplier in a dynamic environment, while considering the psychological behavior and the time factors of the decision maker from the manufacturer's perspective. The supply selection method that is based on the Third Generation Prospect Theory (PT3) is proposed and an optimal ordinal number is obtained. First, the green supplier selection index system is established. Then, the indicators that are given by the manufacturer are used as reference points, and the income and loss matrices are established by calculating the gains and losses of the index values in the interval number relative to the reference points. Next, considering the time factor and calculating the variable weight based on the Gray correlation coefficient method and the time weight of the penalty mechanism method, the suppliers are chosen based on the comprehensive prospect value. Finally, the validity and the feasibility of the method are proven through a case analysis.

show abstract

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

Cited by 26 publications

References 19 publications

A Fuzzy‐Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low‐Carbon Supply Chain

A Fuzzy‐Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low‐Carbon Supply Chain

A Multi-Criteria Group Decision Making Model for Green Supplier Selection under the Ordered Weighted Hesitant Fuzzy Environment

A Study on Green Supplier Selection in Dynamic Environment

Contact Info

Product

Resources

About