Selecting the Most Economic Project under Uncertainty Using Bootstrap Technique and Fuzzy Simulation

	Selecting the Most Economic Project under Uncertainty Using Bootstrap Technique and Fuzzy Simulation
Interdisciplinary Journal of Management Studies
مقاله 1، دوره 5، شماره 1 - شماره پیاپی 862733، فروردین 2012، صفحه 9-24 اصل مقاله (1.09 M)
شناسه دیجیتال (DOI): 10.22059/ijms.2012.24715
نویسندگان
Kamran Shahanaghi؛ Armin Jabbarzadeh؛ Mohammad Hamidi؛ Mohammad Ghodoosi
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده
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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