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Cited by 43 publications
(27 citation statements)
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“…6a). Mathematically, the expected value treats uncertainty and probability (e.g., Mosher et al, 2010;Runge et al, 2011;Gupta et al, 2013) because each event value (here, evidential value like FD) is multiplied by its probability of occurrence (here, fuzzy score) and then divided by sum of the probabilities (here, fuzzy scores) as a weighted average multicriteria decision-making function (c.f. Bonham-Carter, 1994;Carranza, 2008;Feizizadeh et al, 2014).…”
Section: Cu Porphyrymentioning
confidence: 99%
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“…6a). Mathematically, the expected value treats uncertainty and probability (e.g., Mosher et al, 2010;Runge et al, 2011;Gupta et al, 2013) because each event value (here, evidential value like FD) is multiplied by its probability of occurrence (here, fuzzy score) and then divided by sum of the probabilities (here, fuzzy scores) as a weighted average multicriteria decision-making function (c.f. Bonham-Carter, 1994;Carranza, 2008;Feizizadeh et al, 2014).…”
Section: Cu Porphyrymentioning
confidence: 99%
“…Bonham-Carter, 1994;Carranza, 2008;Feizizadeh et al, 2014). 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%
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“…Huang [18] considered return as random fuzzy variable. For studying more works on this issue(see [19][20][21][22][23]). …”
Section: Introductionmentioning
confidence: 99%