An application of investment decision with random fuzzy outcomes

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Küçük Resim

Tarih

2010

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Pergamon-Elsevier Science Ltd

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In 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.

Açıklama

Anahtar Kelimeler

Investment problem, Decision tree, Random fuzzy variable

Kaynak

Expert Systems With Applications

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

37

Sayı

4

Künye

closedAccess