Author
Listed:
- Ezgi Güler
(Industrial Engineering Department, Faculty of Engineering, Bilecik Şeyh Edebali University, Bilecik 11230, Türkiye)
- Süheyla Yerel Kandemir
(Industrial Engineering Department, Faculty of Engineering, Bilecik Şeyh Edebali University, Bilecik 11230, Türkiye)
Abstract
This study presents a comprehensive evaluation of agricultural performance across 38 Organization for Economic Co-Operation and Development countries using an integrated Multi-Criteria Decision-Making framework that combines Technique for Order Preference by Similarity to Ideal Solution, VlseKriterijumska Optimizacija I Kompromisno Resenje, Analytical Hierarchy Process-based weighting, and equal-weighting strategies. The analysis reveals that the VlseKriterijumska Optimizacija I Kompromisno Resenje method exhibited greater sensitivity to changes in criterion weights, as confirmed by Spearman’s rank correlation ( P v = 0.507 < P t = 0.938 ), while Technique for Order Preference by Similarity to Ideal Solution produced more stable rankings. To confirm the differing outcomes, the Borda count technique is applied, yielding a highly consistent final ranking ( P r a n k = 0.819 ). Remarkably, according to the integrated ranking results, Norway (total Borda score: 73) emerges as the top-performing country in terms of agricultural sustainability, whereas Ireland (total Borda score: 0) is positioned at the bottom. These findings offer a critical reference point for policymakers and stakeholders, highlighting both methodological rigor and practical relevance. By combining subjective and neutral weighting approaches, this study provides a balanced decision-support model and also underscores the potential of hybrid Multi-Criteria Decision-Making structures in generating nuanced and actionable insights in agricultural strategy development.
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