Hybrid Interval Type-2 Fuzzy Set Methodology with Symmetric Membership function for Application Selection in Precision Agriculture

Dragić, Radovan and Puška, Adis and Dudić, Branislav and Štilić, Anđelka and Stošić, Lazar and Josimović, Miloš and Nedeljković, Miroslav (2025) Hybrid Interval Type-2 Fuzzy Set Methodology with Symmetric Membership function for Application Selection in Precision Agriculture. Symmetry, 17 (9). ISSN 2073-8994

[img] Text
Dragić, Puška,..., Nedeljković - Symmetry 17(9) 2025.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (886kB)

Abstract

The development of technology has influenced changes in agricultural production. Farmers are increasingly using modern devices and machinery that provide valuable information, and to manage this information effectively, it is necessary to use specialized applications. This research aims to evaluate various applications and determine which one is most suitable for small- and medium-sized farmers to adopt in precision agriculture. This research employed expert decision-making to determine the importance of criteria and evaluate applications using linguistic values. Due to the presence of uncertainty in decision-making, an interval type-2 fuzzy (IT2F) set was used, which addresses this problem through the support of a membership function. This approach allows for the display of uncertainty and imprecision using an interval rather than a single exact value. This enables a more flexible and realistic representation of ratings, leading to more confident decision-making. These membership functions are formed in such a way that there is symmetry around the central linguistic value. To use this approach, the SiWeC (simple weight calculation) and CORASO (compromise ranking from alternative solutions) methods were adapted. The results of the IT2F SiWeC method revealed that the most important criteria for experts are data accuracy, efficiency, and simplicity. The results of the IT2F CORASO method displayed that the A3 application delivers the best results, confirmed by additional analyses. This research has indicated that digital tools, in the form of applications, can be effectively used in small- and medium-scale precision agriculture production.

Item Type: Article
Uncontrolled Keywords: applications, precision agriculture production, Interval type-2 fuzzy set, decision-making uncertainty, symmetric membership function
Depositing User: Unnamed user with email srdjan.jurlina@ien.bg.ac.rs
Date Deposited: 26 Nov 2025 11:07
Last Modified: 26 Nov 2025 11:07
URI: http://repository.iep.bg.ac.rs/id/eprint/1177

Actions (login required)

View Item View Item