Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation"

Thomas R. Gabriel, Michael R. Berthold
2004 International Journal of Approximate Reasoning  
In Mixed Fuzzy Rule Formation [Int. J. Approx. Reason. 32 (2003) 67] a method to extract mixed fuzzy rules from data was introduced. The underlying algorithm's performance is influenced by the choice of fuzzy t-norm and t-conorm, and a heuristic to avoid conflicts between patterns and rules of different classes throughout training. In the following addendum to [Int. J. Approx. Reason. 32 (2003) 67], we discuss in more depth how these parameters affect the generalization performance of the resulting fuzzy rule models.
doi:10.1016/j.ijar.2003.10.004 fatcat:c4skarjqkjeovpoj5tue25v3be