Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6021
Title: | Uncertainty, complexity and fuzzy logic | Authors: | Özkan, İ. Türkşen, I. Burhan |
Keywords: | Computing with word Evidence theory Fuzzy logic Fuzzy theory Real world probability |
Publisher: | Springer | Abstract: | We explore the concept of uncertainty, complexity and fuzzy logic in order to provide a grounding of the use of fuzzy logic in human perception and decision making with precisiated natural language expressions. For this purpose, we provide generally accepted notions of uncertainty, its taxonomies, its sources and the need of fuzzy theory that provides a grounding for the handling of uncertainty. Finally a brief introduction is given to fuzzy decision making studies. In particular, we outline perception based decision making with an application of essential concept of fuzzy logic. For this purpose we restated essential concepts related to theoretical inquiry along with its interpretations in classical and fuzzy theories. © Springer Science+Business Media Dordrecht 2014. | URI: | https://doi.org/10.1007/978-94-007-7362-2_12 https://hdl.handle.net/20.500.11851/6021 |
ISSN: | 2213-8684 |
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
4
checked on Nov 2, 2024
Page view(s)
54
checked on Nov 4, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.