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Catalytic Inference Analysis Using Fuzzy Relations

This paper discusses the role of fuzzy databases in catalytic inference analysis. In knowledge discovery and inference control applications, it is important to represent common sense knowledge explicitly in the databases being analyzed. Such knowledge, typically expressed in fuzzy terms, can be introduced as catalytic relations. Analyzing the resulting augmented databases materializes new rules and latent compromising inference channels based on common knowledge and database data.