Journal ArticleDOI
Fuzzy logic-based generalized decision theory with imperfect information
Rafik A. Aliev,Witold Pedrycz,Bijan Fazlollahi,Oleg H. Huseynov,Akif V. Alizadeh,B. G. Guirimov +5 more
TLDR
A decision theory is proposed, which is capable to deal with vague preferences and imperfect information and is based on a fuzzy-valued non-expected utility model representing linguistic preference relations and imprecise beliefs.About:
This article is published in Information Sciences.The article was published on 2012-04-15. It has received 87 citations till now. The article focuses on the topics: Optimal decision & Decision tree.read more
Citations
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Journal ArticleDOI
The arithmetic of discrete Z-numbers
TL;DR: In this article, the main critical problem that naturally arises in processing Z-number-based information is computation with Z-numbers, which is a more adequate concept for description of real-world information.
Journal ArticleDOI
Intelligent cryptography approach for secure distributed big data storage in cloud computing
TL;DR: An intelligent cryptography approach, by which the cloud service operators cannot directly reach partial data is proposed, and experimental results depict that the approach can effectively defend main threats from clouds and requires with an acceptable computation time.
Journal ArticleDOI
Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan
TL;DR: A framework based on the concept of fuzzy sets theory and the VIKOR method is proposed to provide a rational, scientific and systematic process for evaluating the hospital service quality under a fuzzy environment to consolidate the service quality performance ratings of the feasible alternatives.
Journal ArticleDOI
Horizontal Membership Function and Examples of its Applications
Andrzej Piegat,Marek Landowski +1 more
TL;DR: HMFs enable direct introducing uncertain, interval or fuzzy variable-values in usual mathematical formulas of type y = f(x1,…,x2) together with crisp values, without using Zadeh’s extension principle, and a relatively easy aggregation of crisp and uncertain knowledge became possible.
References
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Book ChapterDOI
Prospect theory: an analysis of decision under risk
Daniel Kahneman,Amos Tversky +1 more
TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
Journal ArticleDOI
Prospect theory: analysis of decision under risk
Daniel Kahneman,Amos Tversky +1 more
Book
Theory of Games and Economic Behavior
TL;DR: Theory of games and economic behavior as mentioned in this paper is the classic work upon which modern-day game theory is based, and it has been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations.
Journal ArticleDOI
Advances in prospect theory: cumulative representation of uncertainty
Amos Tversky,Daniel Kahneman +1 more
TL;DR: Cumulative prospect theory as discussed by the authors applies to uncertain as well as to risky prospects with any number of outcomes, and it allows different weighting functions for gains and for losses, and two principles, diminishing sensitivity and loss aversion, are invoked to explain the characteristic curvature of the value function and the weighting function.