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Title: Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018
Authors: Stojčić, Mirko
Zavadskas, Edmundas Kazimieras
Pamučar, Dragan
Stević, Željko
Mardani, Abbas
Keywords: sustainability
engineering
multi-criteria decision-making
Issue Date: 2019
Publisher: MDPI
Citation: Stojčić, M.; Zavadskas, E.K.; Pamučar, D.; Stević, Ž.; Mardani, A. Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018. Symmetry 2019, 11, 350.
Series/Report no.: 11;3
Abstract: Sustainability is one of the main challenges of the recent decades. In this regard, several prior studies have used different techniques and approaches for solving this problem in the field of sustainability engineering. Multiple criteria decision making (MCDM) is an important technique that presents a systematic approach for helping decisionmakers in this field. The main goal of this paper is to review the literature concerning the application of MCDM methods in the field of sustainable engineering. The Web of Science (WoS) Core Collection Database was chosen to identify 108 papers in the period of 2008–2018. The selected papers were classified into five categories, including construction and infrastructure, supply chains, transport and logistics, energy, and other. In addition, the articles were classified based on author, year, application area, study objective and problem, applied methods, number of published papers, and name of the journal. The results of this paper show that sustainable engineering is an area that is quite suitable for the use of MCDM. It can be concluded that most of the methods used in sustainable engineering are based on traditional approaches with a noticeable trend towards applying the theory of uncertainty, such as fuzzy, grey, rough, and neutrosophic theory.
Description: This article belongs to the Special Issue Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes
URI: http://dspace.vgtu.lt/handle/1/3950
ISSN: 2073-8994
Appears in Collections:Moksliniai straipsniai / Research articles

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