Evaluation of mobile applications for small farms using fuzzy methods

This paper offers a practical model to help farmers choose the most suitable mobile application for their specific needs, improving decision-making processes in adopting agricultural technology. Given the wide range of applications available on the market, the need to select the one that best improves agricultural production motivated the research in this paper. To simplify the decision-making process for farmers, a methodology that applied the fuzzy approach was developed. Based on this, this research aimed to evaluate and identify mobile applications most suitable for the Farmino farm using a Multi-Criteria Decision-Making (MCDM) approach. A decision-making model that includes ten criteria and several mobile applications was applied. Farm employees, who are the intended users of these applications, evaluated the criteria and applications using linguistic terms. The methods of fuzzy Simple Weight Calculation (SiWeC) and fuzzy  Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) were used to determine the weight of the criteria. These methods revealed that the criterion "Data accuracy" was more important than the others, while the importance of the other criteria was less. Finally, the fuzzy method Multi-Attributive Border Approximation Area Comparison (MABAC) was used to rank mobile applications, and the results showed that the A۴ mobile application ranked highest, making it the best choice for Farmino farm.

کلیدواژه ها:

Mobile Applications ، small farms ، Fuzzy methods ، Multi-Criteria Decision-Making