Application of the Fuzzy MCDM Model for the Selection of a Multifunctional Machine for Sustainable Waste Management
Yu Duan (),
Željko Stević (),
Boris Novarlić,
Sarfaraz Hashemkhani Zolfani,
Ömer Faruk Görçün and
Marko Subotić
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Yu Duan: School of Business and Management, Jilin University, Changchun 130012, China
Željko Stević: Faculty of Transport and Traffic Engineering, University of East Sarajevo, 74000 Doboj, Bosnia and Herzegovina
Boris Novarlić: Waste Management Department, Communal Company Progres, 74000 Doboj, Bosnia and Herzegovina
Sarfaraz Hashemkhani Zolfani: School of Engineering, Universidad Catolica del Norte, Coquimbo 1781421, Chile
Ömer Faruk Görçün: Department of Business Administration, Faculty of Economics, Administration, and Social Science, Kadir Has University, Istanbul 34083, Turkey
Marko Subotić: Faculty of Transport and Traffic Engineering, University of East Sarajevo, 74000 Doboj, Bosnia and Herzegovina
Sustainability, 2025, vol. 17, issue 6, 1-28
Abstract:
In the sustainability concept, one of the most important areas is sustainable waste management, a system that significantly impacts both economic and social well-being. The aim of this paper is to create a unique model that can contribute to better and more promising waste management in local governments in order to increase the level of sustainability. The scientific contribution and novelty of this research is reflected in developing the Fuzzy M-FullEX (Modified Fuller’s triangle approach extended) method for defining fuzzy weight coefficients of criteria and its integration with the Fuzzy ROV (range of value) method for ranking multifunctional machines. The unique model developed in this study encompasses 10 criteria and seven alternative solutions, including the two aforementioned Fuzzy MCDM (multi-criteria decision-making) methods and the Bonferroni operator for averaging expert assessments. The results of the Fuzzy M-FullEX-Fuzzy ROV model based on the preferences of three experts define the best multifunctional machine for efficient and sustainable waste management, which is the Venieri. The rankings are as follows: M1 > M3 > M2 > M4 > M5 > M6 > M7. The obtained results were confirmed through extensive analysis (sensitivity, comparative analysis, correlation coefficients, different matrix size) and discussion.
Keywords: sustainability; Fuzzy M-FullEX; multifunctional machines; Fuzzy ROV; waste management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:6:p:2723-:d:1615679
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