Selecting the Most Economic Project under Uncertainty Using Bootstrap Technique and Fuzzy Simulation
محل انتشار: مجله ایرانی مطالعات مدیریت، دوره: 5، شماره: 1
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 63
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شناسه ملی سند علمی:
JR_JIJMS-5-1_001
تاریخ نمایه سازی: 7 شهریور 1402
چکیده مقاله:
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.
نویسندگان
کامران شهانقی
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
آرمین جبارزاده
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
محمد حمیدی
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
محمد قدوسی
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran