Even though the application of type-1 fuzzy sets (T1 FS) has seen success in all applications, since its introduction by Zadeh in 1965, it has limited capabilities to directly model and minimize the effect of uncertainties. In late 1975, Zadeh introduced the concept of type-2 fuzzy sets (T2 FS). T2 FS are described by membership functions (MFs) that are characterized by more parameters than MFs for T1 FS and hence T2 FS provide more degrees of freedom to handle uncertain environments. This paper presents a review of interval type-2 Takagi-Sugeno fuzzy controller with linear consequence (IT2TSFCLC). Benchmarking problem, namely, TORA system is simulated with IT2TSFCLC and it is compared with type-1 T-S fuzzy controller with linear consequence (T1TSFCLC). The results show that IT2TSFCLC performs better than T1TSFCLC.

type-1 fuzzy model, interval type-2 fuzzy model, fuzzy controller.