Evaluation of Criteria in Fruit Production Using the Interval Fuzzy Rough PIPRECIA Method
Journal Title: Journal of Operational and Strategic Analytics - Year 2024, Vol 2, Issue 4
Abstract
This study investigates the application of Multi-Criteria Decision-Making (MCDM) techniques in fruit production, specifically focusing on the use of the interval fuzzy rough pivot pairwise relative criteria importance assessment (PIPRECIA) method for criteria evaluation. A total of 11 criteria were evaluated to rank various combinations of plum varieties and rootstocks. The criteria selected represent key aspects of plum production, including phenology, yield, physical fruit characteristics, and the chemical composition and quality of the fruit. Data for the study were collected through surveys of 17 experts and plum producers. The results indicated that the criteria related to overall yield and fruit weight were deemed the most significant, while those concerning the chemical composition and fruit quality were considered of lesser importance. The findings highlight the potential of the interval fuzzy rough PIPRECIA method in addressing both research and managerial challenges in fruit production. It is suggested that future research expand the application of this method to other geographical regions and agricultural sectors. Additionally, the development of accessible software tools featuring user-friendly interfaces could facilitate broader adoption of MCDM techniques in agricultural decision-making.
Authors and Affiliations
Mirjana Radović, Željko Stević, Danijel Mijić, Aleksandra Govedarica-Lučić, Radomir Bodiroga, Grujica Vico
Keywords
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- EP ID EP756131
- DOI https://doi.org/10.56578/josa020405
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