Hybrid rough sets/cellular neural networks approach to development of a decision making system

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 di...

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Bibliographic Details
Published in:	SICE 2003 Annual Conference (IEEE Cat. No.03TH8734) Vol. 1; pp. 1045 - 1050 Vol.1
Main Authors:	Radwan, E., Tazaki, E.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2003
Subjects:	Algorithm design and analysis Cellular neural networks Control systems Decision making Genetic algorithms Information systems Rough sets Set theory Signal processing algorithms Switching circuits
Online Access:	Get full text
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Summary:	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.
ISBN:	0780383524 9780780383524