The Development of A Fuzzy Decision Support Systems For Fig Quality Classification

Abstract

Classification of agricultural products for international market has a crucial importance. This classification is usually made by experts. Increasing cost and bias are the main limiting factors in such classification. Fuzzy logic theory has a potential to overcome these problems. The objective of this study was to apply fuzzy logic approach to quality classification of figs, as a decision-support system, which has significant share in international markets. Our results demonstrated that the classifications by fuzzy logic and by expert showed %94.26 similarity. Fig classification will be made by using the technological instruments such as electronic cencors with the supportive decision of fuzzy logical to get the fully automation system in fig trade