International Journal of Man-Machine Studies
A genetic algorithm for the knowledge base partitioning problem
Pattern Recognition Letters - Special issue on genetic algorithms
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
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Fuzzy cognitive map is an approach to knowledge representation and inference that are essential to any intelligent system; it emphasizes the connections of concepts as basic units for storing knowledge, and the structure represents the significance of system. It can be used for designing knowledge base, modeling and controlling complex systems. However, modern systems are characterized as complex systems with high dimension and a variety of variables and factors, when a large of nodes is included and the cause relation among concept-nodes is complex in the system, the inference, verification and maintenance of knowledge are very difficult. In this paper, we first analyze the knowledge representation and the inference mechanism of fuzzy cognitive map. Further, we present to partition the complex fuzzy cognitive map base into smaller chunks based on immune algorithm. In the methodology, we utilize the feature of fuzzy cognitive map to construct partition rules and criticize rules. Finally, an illustrative example is provided, and its results suggest that the method is capable of partitioning fuzzy cognitive map.