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

15
checked on Nov 2, 2024

Page view(s)

92
checked on Nov 4, 2024

Google ScholarTM

Check




Altmetric


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