Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6143
Title: A review of developments in fuzzy system models: Fuzzy rule bases to fuzzy functions
Authors: Türkşen, İsmail Burhan
Keywords: Fuzzy rule bases
Fuzzy C-regression
Fuzzy functions
Issue Date: 2011
Publisher: Elsevier Science Bv
Abstract: In a historical context, we first review the development of fuzzy system models from "Fuzzy Rule Bases" proposed by Zadeh (1975) [1], with versions of Sugeno-Yasukawa (1993) [2] and Tagaki-Sugeno (1985) [3]. Secondly, we review the development of the "Fuzzy C-Regression Model" (FCRM), proposed by Hathaway and Bezdek (1993) [4], as well as "Combined FCM, and FCRM Algorithms, proposed by Hoppner and Klawonn (2003) [5]. Thirdly, we review "Fuzzy Functions", proposed by Turksen (2008) [6] and further developed by Celikyilmaz and Turksen (2008-2009) [7-9] in a variety of versions. An experimental assessment of various models are discussed in this writing. (C) 2011 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.scient.2011.04.001
https://hdl.handle.net/20.500.11851/6143
ISSN: 1026-3098
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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