Title of article :
A review of developments in fuzzy system models: Fuzzy rule bases to fuzzy functions
Author/Authors :
Turksen, I.B. TOBB-Economics and Technology University - Department of Industrial Engineering, Turkey , Turksen, I.B. University of Toronto - Department of Mechanical Industrial Engineering, Canada
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 Turkmen (2008) [6] and further developed by Celikyilmaz and Turkmen (2008-2009) [7- 9] in a variety of versions. An experimental assessment of various models are discussed in this writing.
Keywords :
Fuzzy rule bases , Fuzzy C , regression , Fuzzy functions.
Journal title :
Scientia Iranica(Transactions B:Mechanical Engineering)
Journal title :
Scientia Iranica(Transactions B:Mechanical Engineering)
