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.
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Notes
- 1.
Uncertainty is thought to be then converted to fear that motivates to take some action. In this view it is a cognitive process.
- 2.
Due to the war-time difficulties, it was first published in 1953.
- 3.
We would like to encourage interested readers to examine both theories and their role in reasoning under uncertainty.
- 4.
See Baron [4] ch. 5 and 6., for a clear exposition of descriptive and prescriptive modeling in decision making.
- 5.
See Hoppner et al. [18], chapter 8., Rule Generation with Clustering.
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Özkan, İ., Türkşen, I.B. (2014). Uncertainty and Fuzzy Decisions. In: Banerjee, S., Erçetin, Ş., Tekin, A. (eds) Chaos Theory in Politics. Understanding Complex Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8691-1_2
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