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Er-expected Solution to Fuzzy Problems: Linear Programming Model with Fuzzy Random Coefficients

عنوان مقاله: Er-expected Solution to Fuzzy Problems: Linear Programming Model with Fuzzy Random Coefficients
شناسه ملی مقاله: IIEC04_074
منتشر شده در چهارمین کنفرانس ملی مهندسی صنایع در سال 1384
مشخصات نویسندگان مقاله:

Javad Nematian - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
Kuorosh Eshghi - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

خلاصه مقاله:
In this paper, a scalar Er-expected value operator is used for solving the fully fuzzified linear programming problem where all the parameters are fuzzy stochastic and variables are continues fuzzy numbers. The presented solution method is based upon Erexpected value of fuzzy random variables, fuzzy optimization method based on multiobjective programming method and fuzzy ranking method. An illustrative numerical example is given to clarify the theory and the method discussed in this paper.

کلمات کلیدی:
Fuzzy variable, Fuzzy random variable, Expected value operator, Fuzzy ranking method, Fuzzy optimization method

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/17546/