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Title: A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation
Authors: Keshavarz-Ghorabaee, Mehdi
Amiri, Maghsoud
Hashemi-Tabatabaei, Mohammad
Zavadskas, Edmundas Kazimieras
Kaklauskas, Artūras
Keywords: green construction
supplier evaluation
MCDM
WASPAS
Fermatean fuzzy sets
Issue Date: 2020
Publisher: MDPI
Citation: Keshavarz-Ghorabaee M, Amiri M, Hashemi-Tabatabaei M, Zavadskas EK, Kaklauskas A. A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation. Mathematics. 2020; 8(12):2202.
Series/Report no.: 8;12
Abstract: The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of evaluation and selection of green suppliers. This process can be categorized as a multi-criteria decision-making (MCDM) problem. The aim of this study is to propose a novel and efficient methodology for evaluation of green construction suppliers with uncertain information. The framework of the proposed methodology is based on weighted aggregated sum product assessment (WASPAS) and the simple multi-attribute rating technique (SMART), and Fermatean fuzzy sets (FFSs) are used to deal with uncertainty of information. The methodology was applied to a green supplier evaluation and selection in the construction industry. Fifteen suppliers were chosen to be evaluated with respect to seven criteria including “estimated cost”, “delivery efficiency”, “product flexibility”, “reputation and management level”, “eco-design”, and “green image pollution”. Sensitivity and comparative analyses were also conducted to assess the efficiency and validity of the proposed methodology. The analyses showed that the results of the proposed methodology were stable and also congruent with those of some existing methods.
Description: This article belongs to the Special Issue Fuzzy Applications in Industrial Engineering
URI: http://dspace.vgtu.lt/handle/1/4170
ISSN: 2227-7390
Appears in Collections:Moksliniai straipsniai / Research articles

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