DETERMINING CRITERIA WEIGHTS IN FRUIT PRODUCTION USING FUZZY MCDM METHOD

This research focused on the use of multi-criteria decision-making (MCDM) methods in fruit production, which requires the evaluation of numerous economic, biological, and technological factors. The complexity of decision-making in fruit production stems from the need to assess both quantitative and qualitative criteria. To address this, we applied the IMF SWARA method and the Fuzzy Bonferroni operator to determine the weight coefficients of key criteria. The research was conducted in multiple stages, utilizing a combination of different methods. In the first stage, the research team identified 11 criteria to be evaluated by various experts. In the second stage, a survey was developed, and 17 experts in the field of fruit production assessed the weight of the parameters. Finally, the determination of the criteria weights, using the IMF SWARA method and the Fuzzy Bonferroni operator, was based on the previous evaluation provided by four experts who identified themselves as belonging to the group of "University Professors". Out of a total of eleven criteria, two (C4 and C7) were identified as the most important.