Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6115
Title: A new indirect approach to the type-2 fuzzy systems modeling and design
Authors: Zarandi, Mohammad Hossein Fazel
Torshizi, A. Doostparast
Türkşen, İsmail Burhan
Rezaee, B.
Keywords: Type-2 fuzzy logic system
Cluster validity index
Uncertainty bound
Issue Date: 2013
Publisher: Elsevier Science Inc
Abstract: This paper proposes a new method for designing Interval Type-2 Fuzzy Logic Systems (IT2 FLSs) considering two issues: first, quality of clustering the output space and secondly, approximating the output of the IT2 FLS based on a new output processing method. Based on these two issues, we present a new cluster validity index capable of being used for type-1 Fuzzy C-Means (FCMs), Interval Type-2 FCM (IT2 FCM), and Possibilistic C-Means (PCMs) clustering algorithms. This validity index is highly efficient in determining clusters with the least similarity between them and the highest similarity between data vectors in each cluster. Then, a new definition for uncertainty bounds is presented in order to eliminate the type-reduction process in IT2 FLSs and to increase accuracy of the existing uncertainty bounds in the literature. Finally, effectiveness of the proposed approaches compared to several well-known existing methods has been investigated. Computational results have verified accuracy and effectiveness of the proposed method. (C) 2012 Elsevier Inc. All rights reserved.
URI: https://doi.org/10.1016/j.ins.2012.12.017
https://hdl.handle.net/20.500.11851/6115
ISSN: 0020-0255
1872-6291
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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