Fuzzy neural network modeling for product development

被引：13

作者：

Hsu, CH ^{[1
]}

Jiang, BC ^{[1
]}

Lee, ES ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Ind Engn, Chungli 32026, Taiwan

来源：

MATHEMATICAL AND COMPUTER MODELLING | 1999年 / 29卷 / 09期

关键词：

product development; neural network; fuzzy logic; multiple attribute decision making;

D O I：

10.1016/S0895-7177(99)00082-5

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A fairly general product development model is formulated and analyzed based on multiple attribute decision making with emphasis on the treatment of the linguistic and vague aspects by fuzzy logic and up-dating or learning by neural network. Due to the representative ability of fuzzy set theory and the learning or intelligent ability of neural network, the proposed approaches appear to be an effective tool for handling vague and not well-defined systems. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：71 / 81

页数：11