FUZZY IF ... THEN RULE MODELS AND THEIR TRANSFORMATION INTO ONE ANOTHER

The two most essential fuzzy rule-based models used in the literature and in the industrial applications are briefly described. The way of r easoning in these models is shown. Interpolative reasoning for the cas e of sparse rule bases is also discussed. Rule base compression by eli minating redundant rules whose information can be reconstructed within a set accuracy interval from the remaining rules by using the previou s interpolation method is shown. A general fuzzy model is discussed th at contains the previous fuzzy models (as well as the nonfuzzy one) as special cases. Ways of transforming the different approximative model s into each other via the general model and interpolation are presente d.