A Type-2 Data Mining Optimization for Predicting Pistachio Global Market

Abstract

In this paper, a type-2 fuzzy TSK expert system is developed for optimizing the global market prediction. Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is interval itself. The proposed type-2 fuzzy model applies the variables which indicate the export trade trend during the specified period. The PCM algorithm is employed to partitions international market into a collection of clusters, and the clusters are converted into a rule base of type-2 fuzzy TSK IF-THEN rule. The proposed model is implemented for forecasting export value of international market segment of pistachio from Iran. This model can be used for selecting proper segment of international market by predicting export value for every product. © 2012 IEEE.