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.