Abstract
Expected value of a fuzzy variable is the weighted average of all possible values in the sense of credibility measure, which is one of the most well-known credibilistic mappings for ranking fuzzy variables. Based on the concept of expected value, Liu and Liu proposed an expected value model, which had been widely used in many real-life applications. This chapter mainly introduces the concepts of expected value, variance, skewness, moment, as well as the fuzzy simulation technique, expected value model and applications in fuzzy portfolio analysis.
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Li, X. (2013). Expected Value Model. In: Credibilistic Programming. Uncertainty and Operations Research. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36376-4_3
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DOI: https://doi.org/10.1007/978-3-642-36376-4_3
Publisher Name: Springer, Berlin, Heidelberg
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