Extension of the ELECTRE method for decision-making problems with interval weights and data

Vahdani, Behnam; Jabbari, Amir Haji Karim; Roshanaei, Vahid; Zandieh, M.

doi:10.1007/s00170-010-2537-2

Cited by 77 publications

(31 citation statements)

References 10 publications

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“…Extensive MCDM approaches have been proposed to deal with the supplier selection problem, such as the analytical hierarchy process [14,16], analytic network process [35,36], mathematical programming [37,38], data Envelopment Analysis [39,40], elimination and choice expressing reality (ELECTRE) [41,42], technique for order performance by similarity to ideal solution (TOPSIS) [43,44], fuzzy set theory [45], and their hybrids [15,16,19,43,46] and so on.…”

Section: Green Supplier Selection Approachesmentioning

confidence: 99%

Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

et al. 2017

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Abstract:With the increasing environmental awareness, apparel manufacturers have begun to consider environmental issues in supplier evaluation and selection. It is crucial to assess suppliers based on their environmental performance along with other criteria for supplier selection. This paper addresses the green supplier evaluation and selection problem in global apparel manufacturing by developing a methodological framework for green supplier evaluation and selection based on the triple bottom line principle and a fuzzy multi-criteria decision-making (MCDM) model. First, a green supplier evaluation criteria hierarchy based on the triple bottom line principle is established based on comprehensive literature review, on-site investigation and policy analysis. Then, a fuzzy MCDM model is presented to evaluate and select the best material supplier. Finally, a sensitivity analysis is conducted to verify the effectiveness of the proposed framework. Results show that the proposed framework can handle green supplier evaluation and selection in apparel manufacturing effectively.

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Section: Green Supplier Selection Approachesmentioning

confidence: 99%

Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

et al. 2017

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“…Interval type-2 fuzzy sets have been employed in the ELECTRE method [37,38]. Chen [39] implemented an ELECTRE based group decision making method using interval type-2 fuzzy sets.…”

Section: Co-published By Atlantis Press and Taylor And Francismentioning

confidence: 99%

ELECTRE I Method Using Hesitant Linguistic Term Sets: An Application to Supplier Selection

Fahmi¹,

Kahraman²,

Bilen³

2016

IJCIS

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Decision making is a common process in human activities. Every person or organization needs to make decisions besides dealing with uncertainty and vagueness associated with human cognition. The theory of fuzzy logic provides a mathematical base to model the uncertainities. Hesitant fuzzy linguistic term set (HFLTS) creates an appropriate method to deal with uncertainty in decision making. Managerial decision making generally implies that decision making process conducts multiple and conflicting criteria. Multi criteria decision analysis (MCDA) is a widely applied decision making method. Outranking methods are one type of MCDA methods which facilitate the decision making process through comparing binary relations in order to rank the alternatives. Elimination et Choix Traduisant la Réalité (ELECTRE), means elimination and choice that translates reality, is an outranking method. In this paper, an extended version of ELECTRE I method using HFLTS is proposed. Finally, a real case problem is provided to illustrate the HFLTS-ELECTRE I method.

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“…Nosratian et al [26] proposed a new method of ranking alternatives based on interval grey data by ELECTRE method. Vahdani et al [27] also extended another approach for applying ELECTRE method by interval weights and data. Atici and Ulucan [28] and Banias et al [29] used this method for the optimization of energy systems.…”

Section: Introductionmentioning

confidence: 97%

Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information

Hashemi

Hajiagha

Zavadskas

et al. 2016

Applied Mathematical Modelling

137

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Available online xxx Keywords:Multiple criteria decision making ELECTRE III Interval-valued intuitionistic fuzzy information Investment project selection a b s t r a c t A great number of real world problems can be associated with multicriteria decision making. These problems are often characterized by a high degree of uncertainty. Interval-valued intuitionistic fuzzy sets are a generalized form of an ordinal fuzzy set to deal with this natural uncertainty. In this paper, an enhanced version of the ELECTRE method, called ELECTRE III, is extended under the interval-valued intuitionistic fuzzy environment. The advantages and strengths of ELECTRE III as a decision aid technique and interval-valued intuitionistic fuzzy sets as an uncertain framework make the proposed method a suitable choice in solving practical problems. The application of the proposed method is illustrated by the solution of an investment project selection problem.

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Extension of the ELECTRE method for decision-making problems with interval weights and data

Cited by 77 publications

References 10 publications

Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach

ELECTRE I Method Using Hesitant Linguistic Term Sets: An Application to Supplier Selection

Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information

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