Neural net solutions to fuzzy linear programming

被引：14

作者：

Buckley, JJ ^{[1
]}

Feuring, T

Hayashi, Y

机构：

[1] Univ Alabama, Dept Math, Birmingham, AL 35294 USA

[2] Univ Munster, Dept Comp Sci, D-48149 Munster, Germany

[3] Meiji Univ, Dept Comp Sci, Tama Ku, Kawasaki, Kanagawa 21471, Japan

来源：

FUZZY SETS AND SYSTEMS | 1999年 / 106卷 / 02期

关键词：

fuzzy linear programming; neural nets; evolutionary algorithms;

D O I：

10.1016/S0165-0114(97)00293-5

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We show how a neural net, with sign restrictions on its weights, can be trained to produce approximate solutions to fuzzy linear programming problems. The neural net approximates the joint solution (Buckley, 1995) to the fuzzy linear program. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：99 / 111

页数：13

共 25 条

[1]

Back T, 1996, EVOLUTIONARY ALGORIT

[2]

Buckley J. J., 1995, Proceedings of ISUMA - NAFIPS '95 The Third International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society (Cat. No.95TB8082), P302, DOI 10.1109/ISUMA.1995.527711

[3] Neural net solutions to fuzzy problems: The quadratic equation [J].