Journal ArticleDOI
A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
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In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment and Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.Abstract:
Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain. On the other hand, it is a hard problem since supplier selection is typically a multi criteria group decision-making problem involving several conflicting criteria on which decision maker's knowledge is usually vague and imprecise. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives. Finally, a numerical example for supplier selection is given to illustrate application of intuitionistic fuzzy TOPSIS method.read more
Citations
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Journal ArticleDOI
Extended MABAC method based on divergence measures for multi-criteria assessment of programming language with interval-valued intuitionistic fuzzy sets
TL;DR: A new integrated method based on multi-attributive border approximation area comparison (MABAC) method is proposed to handle MCDM problems with IVIFSs, which shows that the proposed approach is efficient and well-consistent with the other methods.
Journal ArticleDOI
A new rule-based sir approach to supplier selection under intuitionistic fuzzy environments
TL;DR: A new Intuitionistic Fuzzy SIR (IF-SIR for short) approach is proposed and focuses on its application to supplier selection which is the important activity in supply chain management.
Journal ArticleDOI
Supplier selection problem: A state-of-the-art review
TL;DR: In this paper, the authors provide an extensive state-of-the-art literature review and critique of the studies related to various aspects of supplier selection problem over the past two decades.
Journal ArticleDOI
Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective
TL;DR: In this article, three decision-making approaches have been applied in intuitionistic fuzzy setting (namely, intuitionistic-TOPSIS, intuistic-MOORA, and intuitionistic Fuzzy-GRA) to facilitate supplier selection in sustainable supply chain.
Journal ArticleDOI
A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI
TL;DR: This paper proposes an approach to supplier categorization based on the use of ELECTRE TRI combined with hesitant fuzzy, a non-compensatory multicriteria decision making method specific for categorization.
References
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TL;DR: This research presents a meta-modelling architecture for supply chain management that automates and automates the very labor-intensive and therefore time-heavy and expensive process of planning and executing supply contracts.
Journal ArticleDOI
Intuitionistic Fuzzy Aggregation Operators
TL;DR: Based on score function and accuracy function, a method is introduced for the comparison between two intuitionistic fuzzy values and some aggregation operators are developed, such as the intuitionism fuzzy weighted averaging operator, intuitionists fuzzy ordered weighted averaging operators, and intuitionistic fuzziness hybrid aggregation operator, for aggregating intuitionist fuzzy values.
Journal ArticleDOI
Vendor selection criteria and methods
TL;DR: This paper reviews, annotates, and classfies 74 related articles which have appeared since 1966 and specific attention is given to the criteria and analytical methods used in the vendor selection process.