Constrained Interval Type-2 Fuzzy Sets

In many contexts, type-2 fuzzy sets (T2 FS) are obtained from a type-1 set to which we wish add uncertainty. However, in the current representation, there is no restriction on shape of footprint uncertainty and embedded (ESs) that can be considered acceptable. This leads, usually, loss semantic relationship between T2 FS concept it models. As consequence, interpretability some ESs explainability measures them decrease. To overcome these issues, constrained (CT2) have been proposed. formal definitions for their key components [e.g., acceptable (AESs)] operations given. this article, provide theoretical underpinning definition CT2 sets, inferencing defuzzification method. conclude, inference framework presented, applied two real-world cases briefly compared standard interval