Title :
Hybrid rough sets/cellular neural networks approach to development of a decision making system
Author :
Radwan, E. ; Tazaki, E.
Author_Institution :
Dept. of Control & Syst. Eng., Toin Univ. of Yokohama, Japan
Abstract :
This paper describes a hybrid framework for this kind of switching circuit. In this framework, cellular neural networks (CNN) and rough sets are integrated into a hybrid system and used cooperatively during the system lifecycle. Rough sets and CNN were chosen for this application because they can discover patterns in ambiguous and imperfect data and provide tools for data and pattern analysis.
Keywords :
cellular neural nets; data analysis; decision making; genetic algorithms; rough set theory; switching circuits; cellular neural network; data analysis; decision making system; hybrid rough sets neural network; pattern analysis; switching circuit;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
