An application of investment decision with random fuzzy outcomes

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dc.contributor.authorSakalli, Uemit Sami
dc.contributor.authorBaykoc, Oemer Faruk
dc.date.accessioned2020-06-25T17:51:16Z
dc.date.available2020-06-25T17:51:16Z
dc.date.issued2010
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this study, an investment problem associated with purchasing machine is solved by using decision trees method. The main difference of this paper from the others in the decision tree literature is using random fuzzy variables, which includes randomness and fuzziness simultaneously, for modeling demand quantities and demand state probabilities. Demand quantities and demand state probabilities are modeled as a continuous and discrete random fuzzy variables, respectively. The random fuzzy variables are transformed to fuzzy variables and crisp numbers by using the properties of the random fuzzy variable, fuzzy variable and normal distribution. After the transformation, the chance and decision nodes removals processes are performed to solve the problem. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.eswa.2009.10.007
dc.identifier.endpage3414en_US
dc.identifier.issn0957-4174
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-71349085368
dc.identifier.scopusqualityQ1
dc.identifier.startpage3405en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2009.10.007
dc.identifier.urihttps://hdl.handle.net/20.500.12587/4765
dc.identifier.volume37en_US
dc.identifier.wosWOS:000274202900081
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInvestment problemen_US
dc.subjectDecision treeen_US
dc.subjectRandom fuzzy variableen_US
dc.titleAn application of investment decision with random fuzzy outcomesen_US
dc.typeArticle

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