Interval Type-2 TSK+ Fuzzy Inference System

摘要: Type-2 fuzzy sets and systems can better handle uncertainties compared to its type-1 counterpart, the widely applied Mamdani TSK inference approaches have been both extended support interval type-2 sets. Fuzzy interpolation enhances conventional TKS systems, which not only enables inferences when inputs are covered by an incomplete or sparse rule base but also helps in system simplification for very complex problems. This paper extends recently proposed approach TSK+ allow utilization of bases. One illustrative case based on example problem from literature demonstrates working system, application cart centering reveals power system. The experimental investigation confirmed that is able perform using either dense bases with promising results generated.