Evolutionary Optimization of Interval Type-2 Fuzzy Systems for Intelligent Control
Oscar Castillo, Patricia Melín, Roberto Sepúlveda · ASME Press eBooks · 2006
The use of new methods for handling incomplete information is of fundamental importance in engineering applications. We simulated the effects of uncertainty produced by the instrumentation elements in type-1 and type-2 fuzzy logic controllers to perform a comparative analysis of the systems' response, in the presence of uncertainty. We are presenting an innovative idea to optimize interval type-2 membership functions using an average of two type-1 systems.