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 Apr 20, 2024

Page view(s)

8
checked on Apr 22, 2024

Google ScholarTM

Check




Altmetric


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