Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5547
Title: A type-2 data mining optimization for predicting pistachio global market
Authors: Golsefid S. M. M.
Türkşen, İsmail Burhan
Zarandi, M. H. F.
Keywords: global market
international market segmentation
Prediction
Type-2 fuzzy modeling
Type-2 TSK
Issue Date: 2012
Source: 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012, 6 August 2012 through 8 August 2012, Berkeley, CA, 93299
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.
URI: https://doi.org/10.1109/NAFIPS.2012.6291065
https://hdl.handle.net/20.500.11851/5547
ISBN: 9781467323376
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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