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Computational methods for two-level linear programming problems with fuzzy parameters through genetic algorithms

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3 Author(s)
Niwa, K. ; Dept. of Bus. Adm., Hiroshima Univ. of Econ., Japan ; Nishizaki, I. ; Sakawa, M.

From the observation that possible values of parameters involved in objective functions and constraints of mathematical programming problems are often only imprecisely or ambiguously known to experts, we consider two-level linear programming problems with fuzzy parameters represented by fuzzy numbers. A computational method, which is based on genetic algorithms, for obtaining the Stackelberg solution to the two-level linear programming problem with fuzzy parameters is developed. To demonstrate the efficiency of the proposed computational method, computational experiments are carried out

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Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

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