Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7760
Title: | Uncertainty and Fuzzy Decisions | Authors: | Özkan, İbrahim Türkşen, İsmail Burhan |
Keywords: | Uncertainty Taxonomy Chaos and complexity Fuzzy sets and logic Computing with words Meta-Linguistic expressions |
Publisher: | Springer-Verlag Berlin | Series/Report no.: | Understanding Complex Systems Springer Complexity | Abstract: | Uncertainty is the main reason that makes human free to choose. Many actions, strategies are designed to handle or reduce the uncertainty to make decision makers life easier. But there is no common accepted theory in the academia. Researchers still struggling to create a common understanding. There are theories that we may follow to make decisions under uncertainty. Among them, probability theory, fuzzy theory and evidence theory can be given. Decision problem is constructed in with the help of these theories. Fuzzy Logic and Fuzzy theory may be considered as the recent advancement and has been applied in many fields for different type of decision problems. | URI: | https://doi.org/10.1007/978-94-017-8691-1_2 https://hdl.handle.net/20.500.11851/7760 |
ISBN: | 978-94-017-8691-1; 978-94-017-8690-4 | ISSN: | 1860-0832 |
Appears in Collections: | Endüstri Mühendisliği Bölümü / Department of Industrial Engineering WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
WEB OF SCIENCETM
Citations
16
checked on Dec 21, 2024
Page view(s)
94
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.