Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5834
Title: Modeling Uncertainty With Improved Fuzzy Functions
Authors: Çelikyılmaz, Aslı
Türkşen, İsmail Burhan
Abstract: This chapter introduces a new uncertainty modeling architecture for the new improved fuzzy functions systems. The theory is based on a new interval type-2 fuzzy system. The uncertainties are captured by automatic identification of the structure of fuzzy functions, and upper and lower boundaries of key parameters that define fuzzy sets. A new type reduction method is introduced. © 2009 Springer-Verlag Berlin Heidelberg.
URI: https://doi.org/10.1007/978-3-540-89924-2_5
https://hdl.handle.net/20.500.11851/5834
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

25
checked on Dec 21, 2024

Page view(s)

32
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


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