Fuzzy neural networks in intelligent manufacturing systems

Author

Setlak, Galina

Author_Institution

Dept. of Comput. Sci., Rzeszow Univ. of Technol., Poland

fYear

2001

fDate

2001

Firstpage

203

Lastpage

206

Abstract

The paper presents fuzzy neural networks, which are an expansion of classical neural networks. These networks can formally represent and process both the qualitative (linguistic) and quantitative information, which usually describe complex, multidimensional systems or decision making processes. The second part presents the results of tests and a practical implementation of applications for decision support systems based on fuzzy neural networks used for strategic management and determination of product development strategy

Keywords

decision support systems; expert systems; fuzzy neural nets; manufacturing data processing; product development; complex multidimensional systems; decision making processes; decision support systems; fuzzy neural networks; intelligent manufacturing systems; product development strategy; qualitative quantitative information; quantitative information; strategic management; Artificial neural networks; Decision making; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Intelligent manufacturing systems; Intelligent networks; Mathematical model; Multilayer perceptrons; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, International Workshop on, 2001.

Conference_Location

Crimea

Print_ISBN

0-7803-7164-X

Type

conf

DOI

10.1109/IDAACS.2001.942013

Filename

942013