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Expected Value Model

  • Xiang Li*
  • *Corresponding author for this work
  • Beijing University of Chemical Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original languageEnglish
Title of host publicationUncertainty and Operations Research
PublisherSpringer Nature
Pages45-71
Number of pages27
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameUncertainty and Operations Research
ISSN (Print)2195-996X
ISSN (Electronic)2195-9978

Keywords

  • Credibility Measure
  • Expected Value Model
  • Fuzzy Simulation Technique
  • Fuzzy Variables
  • Joint Acceptance Function

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