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

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14964853

Author: T. Asha

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W6893235830

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