Assessment of Drought Projections Using the Integrated Fuzzy Analytical Hierarchy Process

Abstract

Effective mitigation planning has become essential considering the complexity and ambiguity of the drought. The Fuzzy analytical hierarchy process (Fuzzy-AHP) and a comparison matrix method are the key elements of this research's framework for planning drought mitigation for the Tharparkar desert region in Pakistan. Fuzzy-AHP, an efficient decision-making tool, offers systematic evaluation based on survey questionnaire criteria. It was created through a literature review and has received feedback from 40 various stakeholders. The identification of the criteria, the fuzzy-AHP model, consistency analysis, weight aggregation, assessment of the alternatives, ranking, and selection are the crucial steps in the technique suggested by this study. This approach, which offers a reliable and flexible framework for planning drought mitigation, incorporates the Fuzzy-AHP model and a comparison matrix. As it can handle confusing and subjective inputs, decision-makers can use it to identify drought situations, evaluate them, and select the best drought mitigation strategies. This research serves to improve the efficacy of drought mitigation planning processes across a range of sectors by offering a thorough and flexible decision-support tool.