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Neutrosophic Sets for Decision-Making in Natural Disasters and Environmental Recovery
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Author(s): Ajoy Kanti Das (Tripura University, India), Nandini Gupta (Bir Bikram Memorial College, India), Rajat Das (Tripura University, India), Carlos Granados (Universidad de Sucre, Colombia)and Suman Das (National Institute of Technology, Agartala, India)
Copyright: 2026
Pages: 44
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.ch004
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Abstract
Natural disasters and environmental crises involve complex decision-making under uncertainty, where traditional models struggle with incomplete or contradictory data. This chapter explores neutrosophic sets—a generalization of fuzzy logic that independently models truth (T), indeterminacy (I), and falsity (F)—as a robust framework for disaster response and recovery. We demonstrate its applications in flood risk assessment, wildfire management, and sustainable technology selection, highlighting how neutrosophic logic outperforms classical methods by quantifying ambiguity and conflicts. Case studies illustrate its integration with multi-criteria decision-making (MCDM) to optimize resource allocation and policy planning. Challenges like computational complexity and future directions for real-time systems and interdisciplinary adoption are discussed. Neutrosophic sets offer a transformative approach to resilience in an era of climate volatility, bridging advanced mathematics with practical crisis management.
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