Summary of the optimal computation of type-2 fuzzy Logic system

This paper provides an introduction to and an overview of type-2 fuzzy Logic system and its optimal computation. The difference between a type-2 fuzzy set (T2 FS) and a type-1 fuzzy set (T1 FS) is discussed. The need of optimal design for the type-2 fuzzy Logic system is presented. The important advance in the optimal computation for interval type-2 fuzzy sets (IT2 FLS) and systems is demonstrated. The opinion that the artificial immune algorithm (AIS) is a novel optimistic method in the study area of type-2 fuzzy logic system is presented. Further work that needs to be done with the AIS and other versions of intelligent algorithms is pointed out.