2008
DOI: 10.1016/j.camwa.2007.04.042
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The expected value of a function of a fuzzy variable with a continuous membership function

Abstract: In this paper, a formula for the expected value of a function of a fuzzy variable is presented, with which the exact expected value of the function of the fuzzy variable can be obtained directly. The proposed formula holds provided that the function is monotonic, on the assumption that the fuzzy variable has a continuous membership function. Furthermore, some examples showing how to apply the formula are given.

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Cited by 30 publications
(18 citation statements)
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“…Using a weighted average is an approach that has been widely applied to combine information from several criteria into a single evaluation model to modulate uncertainty Feizizadeh et al, 2014), such as index overlay for MPM (e.g., Bonham-Carter, 1994;Carranza, 2008) or geo-hazard susceptibility mapping (e.g., Feizizadeh et al, 2014), and other application fields as expected value approach for example in welllogging (Mosher et al, 2010), financial supports (e.g., Gupta et al, 2013), and biological sciences (e.g., Runge et al, 2011). Furthermore, weighted average integrating approaches like expected value have been used to synthesize continuous fuzzy values (e.g., Xue et al, 2008;Chen et al, 2014) in fuzzy systems (e.g., Heilpern, 1992).…”
Section: Cu Porphyrymentioning
confidence: 99%
“…Using a weighted average is an approach that has been widely applied to combine information from several criteria into a single evaluation model to modulate uncertainty Feizizadeh et al, 2014), such as index overlay for MPM (e.g., Bonham-Carter, 1994;Carranza, 2008) or geo-hazard susceptibility mapping (e.g., Feizizadeh et al, 2014), and other application fields as expected value approach for example in welllogging (Mosher et al, 2010), financial supports (e.g., Gupta et al, 2013), and biological sciences (e.g., Runge et al, 2011). Furthermore, weighted average integrating approaches like expected value have been used to synthesize continuous fuzzy values (e.g., Xue et al, 2008;Chen et al, 2014) in fuzzy systems (e.g., Heilpern, 1992).…”
Section: Cu Porphyrymentioning
confidence: 99%
“…Lemma 1 (Xue et al 2008) If f : → is an increasing function and ξ is a fuzzy variable with continuous membership function and finite expected value, then…”
Section: Preliminariesmentioning
confidence: 99%
“…Mahdavi-Amiri and Nasseri [19] used trapezoidal fuzzy variable in dual simplex method for linear programming problems. Xue [20] considered the expected value of a fuzzy variable with a continuous membership function. Gao and You [21] presented maximum entropy membership functions for discrete fuzzy variables.…”
Section: Non-linear Programming With Fuzzy Variable or Parametermentioning
confidence: 99%