Integrated Neutrosophic Best-Worst Method for Comprehensive Analysis and Ranking of Flood Risks: A Case Study Approach from Aswan, Egypt

Abstract

This paper presents a comprehensive framework for the analysis and ranking of flood risks with respect to regional variations and data uncertainties under a Neutrosophic environment. The research introduces a novel approach to flood risk mitigation and management, bringing together the scientifically robust Best-Worst Method (BWM) and single-valued Neutrosophic set for the first time. The unique application of a single-valued Neutrosophic set allows us to better illustrate and manage uncertainty, imprecision, and vagueness in data. Additionally, we employ BWM, a multi-factor decision-making method, for discerning and ranking the most influential flood risk factors. Together, the integrated methodologies provide a balanced, comprehensive guide for decision-makers and risk handlers, showcasing efficient and effective mitigation strategies. The paper emphasizes the importance of mitigating flood risks to save lives and properties and to manage and conserve environmental resources efficiently. A case study was conducted in Aswan, Egypt, to assess flood susceptibility. The results revealed that 12.60% of the study area exhibited very high susceptibility to flooding, 18.77% showed high susceptibility, 23.94% exhibited moderate susceptibility, 22.91% registered a low susceptibility, and the remaining 21.78% showed very low susceptibility to flooding.