Application of Fuzzy-Rough Methodology to the Selection of Electric Tractors for Small Farms in Semberija

The selection of electric tractors falls under the Multicriteria Decision-Making (MCDM) category and can be performed using different methods. This study used expert decision-making, with experts providing assessments in the form of linguistic values. A model was created using ten criteria and six electric tractors to determine which tractor would be most suitable for small farms in the Semberija region. The Fuzzy-Rough (FR) methodology was implemented here, combining fuzzy logic with rough set theory. The importance of each criterion was evaluated through the FR Simple Weight Calculation (SiWeC) method showing that maintenance has slightly greater importance than the other criteria. Tractor selection was performed using the FR Ranking of Alternatives with Weights of Criterion (RAWEC) method, which showcased the Solectrac e25 as the tractor that achieved the best result. These outcomes were confirmed by comparison with other FR methods and sensitivity analysis. This research's impact is represented by encouraging the usage of electric tractors to reduce environmental pollution and the development of an improved FR methodology using the bonferroni mean operator to harmonize expert ratings.