Solving a Linear Programming with Fuzzy Constraint and Objective Coefficients
Автор: Hamid Reza Erfanian, Mohammad Javad Abdi, Sahar Kahrizi
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 7 vol.8, 2016 года.
Бесплатный доступ
In this paper, we consider a method for solving a linear programming problem with fuzzy objective and coefficient matrix, where the fuzzy numbers are supposed to be triangular. By the proposed method, the Decision Maker will have the flexibility of choosing. The solving method is based on the Pareto algorithm, which converts the problem to a weighted-objective linear programming. For more illustration, after discussing the problem and the algorithm, we present an example, which its solutions are independent from the objective weights.
Fuzzy Linear Programming, Fuzzy Numbers, Pareto Algorithm, Multi-Objective Linear Programming
Короткий адрес: https://sciup.org/15010840
IDR: 15010840
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