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Study on probabilistic multi- objective linear fractional programming problems under fuzziness

عنوان مقاله: Study on probabilistic multi- objective linear fractional programming problems under fuzziness
شناسه ملی مقاله: JR_IJIEPR-31-1_001
منتشر شده در در سال 1398
مشخصات نویسندگان مقاله:

Hamiden Khalifa - Operations Research Department- Faculty of Graduate Studies of Statistical Research- Cairo University
E. E. Ammar - ۲. Mathematics Department, Faculty of Science, Tanta University, Tanta, Egypt.

خلاصه مقاله:
   This paper deals with a multi- objective linear fractional programming problem involving probabilistic parameters in the right- hand side of the constraints. These probabilistic parameters are randomly distributed with known means and variances through the use of Uniform and Exponential Distributions. After converting the probabilistic problem into an equivalent deterministic problem, a fuzzy programming approach is applied by defining a membership function. A linear membership function is being used for obtaining an optimal compromise solution. The stability set of the first kind without differentiability corresponding to the obtained optimal compromise solution is determined. A solution procedure for obtaining an optimal compromise solution and the stability set of the first kind is presented. Finally, a numerical example is given to clarify the practically and the efficiency of the study.  

کلمات کلیدی:
Multi-objective linear fractional programming, Uniform distribution, Exponential distribution, Linear membership function, Fuzzy programming, optimal compromise solution, parametric study

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1159195/