fuzzy AHP in Agriculture: Bridging Complexity and Uncertainty in Decision-Making

The agriculture sector faces multifaceted challenges, including climate variability, resource constraints, and the need for sustainable practices. Traditional decision-making methods often fall short in addressing the inherent uncertainties and complexities in agriculture. Fuzzy Analytic Hierarchy Process (AHP) emerges as a powerful tool to navigate these challenges, offering a structured framework to incorporate expert judgment and uncertainty. By blending fuzzy logic and AHP, this methodology enables stakeholders to make well-informed, consistent, and transparent decisions. This article explores the applications, procedures, advantages and limitations of Fuzzy AHP in agriculture, complemented by a recent case study.