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Information Journal Paper

Title

SELECTING THE MOST ECONOMIC PROJECT UNDER UNCERTAINTY USING BOOTSTRAP TECHNIQUE AND FUZZY SIMULATION

Pages

  9-24

Abstract

 This article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. In this way, net present worth (NPW) would be the economic indicator. This article tries to challenge the assumption of large sample sizes availability for membership function determination and shows that some other techniques may have less accuracy. To give a robust solution, bootstrapping and FUZZY SIMULATION is suggested and a numerical example is given and analyzed.

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    Cite

    APA: Copy

    SHAHANAGHI, KAMRAN, JABBARZADEH, ARMIN, HAMIDI, MOHAMMADREZA, & GHODOOSI, MOHAMMADREZA. (2012). SELECTING THE MOST ECONOMIC PROJECT UNDER UNCERTAINTY USING BOOTSTRAP TECHNIQUE AND FUZZY SIMULATION. IRANIAN JOURNAL OF MANAGEMENT STUDIES, 5(1), 9-24. SID. https://sid.ir/paper/240881/en

    Vancouver: Copy

    SHAHANAGHI KAMRAN, JABBARZADEH ARMIN, HAMIDI MOHAMMADREZA, GHODOOSI MOHAMMADREZA. SELECTING THE MOST ECONOMIC PROJECT UNDER UNCERTAINTY USING BOOTSTRAP TECHNIQUE AND FUZZY SIMULATION. IRANIAN JOURNAL OF MANAGEMENT STUDIES[Internet]. 2012;5(1):9-24. Available from: https://sid.ir/paper/240881/en

    IEEE: Copy

    KAMRAN SHAHANAGHI, ARMIN JABBARZADEH, MOHAMMADREZA HAMIDI, and MOHAMMADREZA GHODOOSI, “SELECTING THE MOST ECONOMIC PROJECT UNDER UNCERTAINTY USING BOOTSTRAP TECHNIQUE AND FUZZY SIMULATION,” IRANIAN JOURNAL OF MANAGEMENT STUDIES, vol. 5, no. 1, pp. 9–24, 2012, [Online]. Available: https://sid.ir/paper/240881/en

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