✦ LIBER ✦

Neural network technique for fuzzy multiobjective linear programming

✍ Scribed by Mitsuo Gen; Kenichi Ida; Reiko Kobuchi

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 236 KB
Volume: 35
Category: Article
ISSN: 0360-8352
DOI: 10.1016/s0360-8352(98)00154-5

No coin nor oath required. For personal study only.

✦ Synopsis

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 laxge-scale problem efficiently and optimal solution can be gotten. In this paper, we intoroduce improvement of the two-phnse 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 axe shown with numerical simulations.

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