Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5753
Title: Fuzzy sets and systems
Authors: Çelikyılmaz, Aslı
Türkşen, İsmail Burhan
Abstract: This chapter reviews basic principles of the fuzzy sets and fuzzy logic as well as the inference methodology of the approximate reasoning and the extension principle theories that are fundamental parts of structure identification with traditional fuzzy rule base systems. Also presented is the "Fuzzy Functions" as defined in the literature and as presented in this work. Extensions of some well-known fuzzy inference systems including structures of well known hybrid fuzzy systems are also presented at the end of this chapter. © 2009 Springer-Verlag Berlin Heidelberg.
URI: https://doi.org/10.1007/978-3-540-89924-2_2
https://hdl.handle.net/20.500.11851/5753
ISBN: 9783540899235
ISSN: 1434-9922
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

5
checked on Apr 20, 2024

Page view(s)

14
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.