Partitioning study of fuzzy cognitive map based on GA

Authors:
He Yue;Lin Chun-Mei
Affiliations:
Department of Mathematics, Shaoxing College of Arts and Sciences, Shaoxing, Zhejiang, China;Department of Computer, Shaoxing College of Arts and Sciences, Shaoxing, Zhejiang, China
Venue:
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
Year:
2009

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A genetic algorithm for the knowledge base partitioning problem

Pattern Recognition Letters - Special issue on genetic algorithms
Fuzzy engineering

Fuzzy engineering

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Abstract

The large knowledge base system partition problem is known to be NP-complete. In this paper, we first present a genetic algorithm for solving the partitioning problem of knowledge base based on fuzzy cognitive map. In the methodology, we utilize the feature of fuzzy cognitive map to construct partition rules and use GA to partition the knowledge base. Finally, an illustrative example is provided, and its results suggest that the method is capable of partitioning fuzzy cognitive map.