Fuzzy functions
by I. Burhan Turksen
International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS), Vol. 1, No. 4, 2010

Abstract: We first review the development of fuzzy system models from 'fuzzy rule bases' proposed by Zadeh (1965, 1975) to 'fuzzy functions' proposed by Turksen (2008) and further developed by Celikyilmaz and Turksen (2008a; 2008b; 2008c; 2009a; 2009b) in a variety of versions. Next, we also review a complementary development of 'fuzzy C-regression model' (FCRM) proposed by Hathaway and Bezdek (1993), as well as a 'combined FCM and FCRM algorithms' proposed by Höppner and Klawonn (2003). Finally, various experimental assessments of such fuzzy function models are presented.

Online publication date: Sat, 20-Nov-2010

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