Fuzzy SIWEC and Fuzzy RAWEC Methods for Sustainable Waste Disposal Technology Selection

Authors:
Top Cited Papers
Open Access
Publisher website
Google Scholar
Abstract
Rapid industrialization, population growth, and poor waste management have led to significant environmental and economic challenges. These issues underscore the need for effective disposal technologies to mitigate public health risks, reduce greenhouse gas emissions, and promote resource recovery. This study aims to determine the most suitable sustainable solid waste disposal technology for the planned Çivril Solid Waste Disposal Facility in Denizli Province. To evaluate eight disposal alternatives: landfilling (A₁), composting (A₂), biomethanization (A₃), incineration (A₄), gasification (A₅), plasma treatment (A₆), pyrolysis (A₇), and refuse-derived fuel (RDF) (A₈), we employed fuzzy-based Multi-Criteria Decision-Making (MCDM) methods: the Simple Weight Calculation (SIWEC) and Ranking Alternatives with Weights of Criterion (RAWEC). Twelve criteria, including environmental impact, legal compliance, and operational costs, were weighted using Fuzzy SIWEC, while the alternatives were ranked using Fuzzy RAWEC. The results identified composting (A₂) as the most suitable technology, whereas RDF (A₈) performed the worst. Validation through comparison with other MCDM methods (F-TOPSIS, F-SAW, F-MABAC, and CORASO) demonstrated high consistency. Sensitivity analysis confirmed that composting (A₂) and gasification (A₅) maintained stable rankings across different scenarios, while the rankings of other methods varied depending on decision-maker preferences. The integrated use of fuzzy-based SIWEC and RAWEC provides a reliable and systematic framework for sustainable waste management decision-making.

This publication has 36 references indexed in Scilit: