A Fuzzy Multi-Criteria Decision-Making Approach for Agricultural Land Selection

Gonca Tuncel () and Busranur Gunturk
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Gonca Tuncel: Department of Industrial Engineering, Dokuz Eylul University, Izmir 35390, Türkiye
Busranur Gunturk: Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Izmir 35390, Türkiye

Sustainability, 2024, vol. 16, issue 23, 1-13

Abstract: Decision-making involves selecting the best alternative based on evaluation criteria while considering environmental impacts. The translation of environmental factors into quantifiable mathematical expressions is challenging due to the inherent uncertainties. Decision-makers can address the subjective characteristics of alternatives by incorporating fuzzy set theory into decision-making processes where uncertainty and ambiguity exist. Game theory is introduced as another approach to enhance the robustness of decision-making models, leading to more informed and flexible decision outcomes. This approach promotes strategic thinking and aids decision-making by allowing individuals to visualize the potential consequences of different decisions under various conditions. This study proposes a fuzzy multi-criteria decision support system that provides a structured framework to address the complexities of agricultural land selection. The decision support system employs a two-person zero-sum game to identify the optimal land management option, considering the strategic interactions between players. The results from the payoff matrix reveal the equilibrium point, providing an ideal solution for more effective land use planning decisions.

Keywords: agricultural land selection; game theory; fuzzy TOPSIS; multi-criteria decision-making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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