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Fuzzy Multi-Criteria Decision-Making Approach for Optimizing Sustainable Water Management
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Author(s): Ajoy Kanti Das (Tripura University, India), Nandini Gupta (Bir Bikram Memorial College, India), Hani Amir Aouissi (Environmental Research Center (CRE), Algeria)and Bishnupada Debnath (Rajiv Gandhi University, India)
Copyright: 2026
Pages: 38
Source title:
Computational Intelligence and Optimization Methods for Sustainable Water Management
Source Author(s)/Editor(s): Yassine Ezaier (Hassan II University, Casablanca, Morocco), Rajae Gaamouche (Moroccan School of Engineering Sciences, Rabat, Morocco)and Mohamed Lahby (Hassan II University, Casablanca, Morocco)
DOI: 10.4018/979-8-3373-2700-6.ch003
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Abstract
This chapter explores the application of Fuzzy Multi-Criteria Decision-Making (FMCDM) in Optimizing Sustainable Water Management (SWM). FMCDM integrates fuzzy set theory and soft set theory to address the complexities and uncertainties involved in decision-making, especially in scenarios with multiple criteria and conflicting objectives. The chapter presents a methodological framework for applying FMCDM, which includes steps such as problem definition, fuzzification of data, fuzzy soft set (FSS) construction, weight assignment, aggregation, and ranking of alternatives. A case study demonstrates how this framework can be applied to assess water management strategies based on criteria like Water Quality Improvement, Cost Efficiency, Technological Feasibility, Environmental Sustainability, and Social Acceptability. The chapter highlights the benefits of FMCDM and provides structured decision support, while also addressing its limitations and suggesting future directions for enhancing its applicability in real-time, multi-stakeholder, and sustainability-focused decision-making contexts.
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