AIJun 29, 2016

Credibilistic TOPSIS Model for Evaluation and Selection of Municipal Solid Waste Disposal Methods

arXiv:1606.08965v315 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of waste management in developing countries by providing a decision-making tool for selecting disposal methods, though it is incremental as it builds on existing TOPSIS methods.

The paper tackles the problem of selecting municipal solid waste disposal methods under vague information by extending the TOPSIS methodology with credibility theory, resulting in a model that helps decision-makers choose preferable alternatives, with sensitivity analysis confirming its effectiveness.

Municipal solid waste management (MSWM) is a challenging issue of urban development in developing countries. Each country having different socio-economic-environmental background, might not accept a particular disposal method as the optimal choice. Selection of suitable disposal method in MSWM, under vague and imprecise information can be considered as multi criteria decision making problem (MCDM). In the present paper, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methodology is extended based on credibility theory for evaluating the performances of MSW disposal methods under some criteria fixed by experts. The proposed model helps decision makers to choose a preferable alternative for their municipal area. A sensitivity analysis by our proposed model confirms this fact.

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