The first study involves building fuzzy models corresponding to each individual decision maker with the results grouped based on the decision makers' propensity ...
In our first study, we built fuzzy models corresponding to each individual decision maker and grouped the results based on the decision makers' propensity to ...
To address these problems, we propose a novel methodology that uses fuzzy theories. The proposed methodology includes the utility function for normalizing, the ...
Nov 2, 2013 · It discusses the methodology, framework and process of using fuzzy logic systems for risk management. With the help of practical examples, it is.
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Oct 22, 2024 · This paper reviews two main MCE approaches employed in GIS, namely Boolean and Weighted Linear Combination (WLC), and discusses issues and problems associated ...
ANDORness re¯ects an attitude toward risk in decision making. It is. Page 8. H. Jiang and J. R. Eastman. 180 represented by ANDness, the degree to which an ...
Oct 27, 2024 · Thus, fuzzy measures provide a natural way of extending probability measures especially in the context of decision making under uncertainty [4], ...
In this paper we propose a standard measure of risk that is based on the converted expected utility of normalized lotteries with zero-expected values.
Modeling attitude to risk in human decision processes: An application of fuzzy measures · D. LiginlalTerence T. Ow. Business, Economics. Fuzzy Sets Syst. 2006.
Fuzzy-trace theory (FTT) is a multi-process theory of cognition that captures how information is encoded, processed, and retrieved (Reyna & Brainerd, 2011).