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A Method of Generating a Random Sample From a Fuzzy Distribution Function

عنوان مقاله: A Method of Generating a Random Sample From a Fuzzy Distribution Function
شناسه ملی مقاله: FJCFIS01_055
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
مشخصات نویسندگان مقاله:

A. Khorsand - A Member of Young Researchers Club
R Amirzadeh - Islamic Azad University Mashhad Branch, Mashhad, Iran
A Bozorgnia - Islamic Azad University Mashhad Branch, Mashhad, Iran

خلاصه مقاله:
In practical applications, it is very important to generate a random sample or equivalently a sequence of random fuzzy numbers from a fuzzy distribution function. In this paper, we propose fuzzy probability integral transformation theorem for fuzzy random variables. As a result of this theorem, we provide a method to generate a sequence of random fuzzy numbers from a fuzzy distribution function. To do this, we use the random fuzzy numbers on [0, 1]. Our attention is on the case where the left and right sides of the membership functions of random fuzzy numbers are quadratic functions. For illustrating the method we give a numerical example.

کلمات کلیدی:
Extension Principle, Fuzzy random variable, probability integral transformation theorem, Random fuzzy number, Triangular shaped fuzzy number

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/52546/