Design Of Interval Type-2 Fuzzy Logic Intelligent System

Uncertainty is an inherent part of intelligent systems used in real-world applications. The use of new methods for handling incomplete information is of fundamental importance.Type-1 fuzzy sets used in conventional fuzzy systems cannot fully handle the uncertainties present in intelligent systems.Type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide us with more parameters. This thesis, deals with the design of intelligent systems using interval type-2 fuzzy logic for minimizing the effects of uncertainty. Experimental results include simulations of feedback control systems for linear and non-linear plants using and interval type-2 fuzzy logic controllers. It contains the following contents.1. It introduces interval type-2 fuzzy logic systems, linear and nonlinear systems, fuzzy control knowledge and the main application.2. It studies interval type-2 fuzzy logic intelligent system design based on linear systems, research and simulation examples are obtained by MATLAB, and compare the results of interval type-2 fuzzy logic controllers with type-1 fuzzy logic controllers. It shows that the proposed strategy is applied successfully to control the main steam temperature system and the performance of IT2FLC is better than T1FLC.3. It studies interval type-2 fuzzy logic intelligent system design based on nonlinear systems, research and simulation examples are obtained by MATLAB, and compare the results of interval type-2 fuzzy logic controllers with type-1 fuzzy logic controllers. It shows that the proposed strategy is applied successfully to control the shower system and the performance of IT2FLC is better than T1FLC.