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
Issue Date: 2014
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

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