Knowledge discovery in precise databases can be enhanced by introducing common sense knowledge expressed as fuzzy rules. The fuzzy rules catalyze database inference and manifest latent knowledge (facts and rules). This paper describes three techniques for generating new rule-based knowledge by combining other precise/fuzzy rules. In addition to knowledge discovery, the work has relevance to database security, especially inference analysis and control.