ANALYSIS OF FLEXIBLE STRUCTURED FUZZY-LOGIC CONTROLLERS

We suggest a new approach to the construction of fuzzy logic controllers based upon the selection of systems parameters. We first show that the standard fuzzy logic controllers have four basic operations which determine the nature of their functioning, the aggregation process used to combine individual antecedent firing levels to give a rule firing level, the determination of rule output based on antecedent firing level, the aggregation of individual rule outputs to find combined output, and the defuzzification process. We next show how we can parameterize these operations using S-OWA operators. These parameterized models give us a new class of Flexible Structured Fuzzy Logic Controllers (FS-FLC). We look at the structure and performance of these controllers. We then suggest that one can improve the structure of fuzzy logic controllers by learning the values of the parameters introduced.