Vol 5 No 2 (2011): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Articles
Published
December 1, 2011
Keywords
- Non linear progaming, optimal solution, objective function, fuzzy parameter
How to Cite
[1]
A. Wattimena, “APLIKASI FUZZY PADA PERMASALAHAN PROGRAM TAK-LINIER”, BAREKENG: J. Math. & App., vol. 5, no. 2, pp. 35-38, Dec. 2011.
Abstract
One of the most purpose of non linear programing is to determine the optimal solution of its objective function. If the objective function of a certain non linear programing only possess a uniqe value function, it is easy to calculate its optimal solution. However, if the objective function of non linier programing possess multi functions, so there are two possibilities to determine their optimal solutions. Theses depend on whether there are conflic among them or not. In order to make them more easier, the fuzzy parameter could be applied to calculate the optimal solution.
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References
Ali, M.F., 2001. A differential equation approach to fuzzy vector optimization problems and sentivity analysis. Fuzzy Sets and Systems. 119(1). pp 87-95.
Ammar, E.I., 1997. Stability of multiobjective NLP problems with fuzzy parameters in the objective and constraints functions. Fuzzy Sets and Systems. 109. pp 225–234.
Sakawa, M., 1993. Fuzzy Sets and Interactive Multiobjective Optimization. Plenum Press. New York.
Ammar, E.I., 1997. Stability of multiobjective NLP problems with fuzzy parameters in the objective and constraints functions. Fuzzy Sets and Systems. 109. pp 225–234.
Sakawa, M., 1993. Fuzzy Sets and Interactive Multiobjective Optimization. Plenum Press. New York.