Neural network technique for fuzzy multiobjective linear programming |
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Authors: | Mitsuo Gen Kenichi Ida Reiko Kobuchi |
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Affiliation: | Department of Industrial and Systems Engineering Ashikaga Institute of Technology, Ashikaga 326, Japan Tel: +81(284)62-0605 Fax: +81(284)64-1071 |
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Abstract: | Neural Network(NN) is well-known as one of powerful computing tools to solve optimization problems. Due to the massive computing unit-neurons and parallel mechanism of neural network approach we can solve the large-scale problem efficiently and optimal solution can be gotten. In this paper, we intoroduce improvement of the two-phase approach for solving fuzzy multiobjectve linear programming problem with both fuzzy objectives and constraints and we propose a new neural network technique for solving fuzzy multiobjective linear programming problems. The procedure and efficiency of this approach are shown with numerical simulations. |
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Keywords: | Neural Networks Fuzzy Multiobjective Linear Programming |
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