期刊
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 69, 期 6, 页码 3139-3153出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2020.3033121
关键词
Electronic waste; Recycling; Decision making; Frequency selective surfaces; Electronic equipment; Weight measurement; Uncertainty; Combined compromise solution (CoCoSo); multicriteria decision-making (MCDM); similarity measure; single-valued neutrosophic sets (SVNSs); waste electrical and electronics equipment (WEEE) recycling
This article proposes an innovative approach to solve the problem of selecting WEEE recycling partners, using a combination of compromise solution and similarity measure in the context of single-valued neutrosophic sets (SVNSs). The results of the study demonstrate that the developed approach is more suitable and consistent with existing methods.
Waste electrical and electronics equipment (WEEE) recyclers have become a boon for countries as they assist to reduce carbon emissions by recycling the WEEE in the most ecofriendly way. The evaluation and choice of optimal WEEE recycling partner is a significant and multifaceted decision for the managerial experts because of the involvement of several qualitative and quantitative criteria. Thus, the aim of the article is to propose a novel methodology by integrating a combined compromise solution approach and similarity measure within the context of single-valued neutrosophic sets (SVNSs) and, then, used to solve the decision-making problem. In this approach, the criteria weights are evaluated by a new procedure based on a similarity measure. For this, a novel similarity measure is introduced for SVNSs and also presented its efficiency over existing similarity measures. To investigate the efficiency and practicality of the introduced approach, a case study of WEEE recycling partner selection is taken under the SVNSs environment. Finally, comparison and sensitivity analysis are made to check the robustness and stability of the developed methodology. The outcomes of this article exemplify that the developed approach is more suitable and well consistent with existing approaches.
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