Abstract
When tuning of fuzzy production rules which use fuzzy reasoning, the human experts handle the shape of membership functions conventionally, thus, there are several promising approaches for automatic membership function tuning. The mainproblem of these approaches is that, automatic tuning makes re-tuning the rules by a human expert impossible.In fuzzy production rules, the total matching degree of the condition part is calculated from the matching degree of each condition by aggregation operators. Most systems use "min" and "max" functions as aggregation operators. There is some research in the area where, the controller character is changed by using different T norms and T conorms, but this said nothing for tuning.In this paper, we consider an automatic operator tuning method for the parametric T-norms and T-conorms whose characteristics can be modified by parameters. By computer simulations, we found suitable operators that is intermediate between tipical operators, and T-conorms are not enough as combintion functions.
