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Journal ArticleDOI

Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method

TLDR
This research presents an intuitionistic fuzzy TOPSIS method to select the right sustainable supplier that concerns nine criteria and thirty sub-criteria for an automotive spare parts manufacturer and provides an accurate sustainable ranking of suppliers and a reliable solution for sustainable sourcing decisions that is validated through a real-world case study.
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This article is published in Journal of Manufacturing Systems.The article was published on 2019-01-01. It has received 329 citations till now. The article focuses on the topics: TOPSIS & Spare part.

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Citations
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Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)

TL;DR: A new Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method for a sustainable supplier selection in the healthcare industry (in a polyclinic) in Bosnia and Herzegovina is developed and shows that A2 remains the best alternative.
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Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model

TL;DR: The proposed framework makes it possible to evaluate suppliers in terms of sustainability in spite of ambiguities in the decision-making process and a lack of quantitative information.
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A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment

TL;DR: An innovative MCDM model for sustainable supplier selection is reported by integrating best-worst method (BWM) and alternative queuing method (AQM) within the interval-valued intuitionistic uncertain linguistic setting.
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Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach

TL;DR: The proposed method combines the strength of the fuzzy set in handling internal uncertainty and the advantages of the rough set in manipulating external uncertainty in a hybrid rough-fuzzy DEMATEL-TOPSIS approach to sustainable supplier selection for a smart supply chain.
References
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Journal ArticleDOI

Intuitionistic fuzzy sets

TL;DR: Various properties are proved, which are connected to the operations and relations over sets, and with modal and topological operators, defined over the set of IFS's.
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Extensions of the TOPSIS for group decision-making under fuzzy environment

TL;DR: The rating of each alternative and the weight of each criterion are described by linguistic terms which can be expressed in triangular fuzzy numbers and a vertex method is proposed to calculate the distance between two triangular fuzzyNumbers.
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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.
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Distances between intuitionistic fuzzy sets

TL;DR: It is shown that all three parameters describing intuitionistic fuzzy sets should be taken into account while calculating those distances between intuitionistically fuzzy sets.
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A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method

TL;DR: 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.
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