Title :
The construction of general type-2 fuzzy sets
Author :
Dan Hu ; Lin, Tsau Young ; Qiang Fan
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China
Abstract :
Focus on constructing of general type-2 fuzzy set, the essence of type-n fuzzy sets are discovered. We first proved the consistency between interval estimation and nested sets representation theorem of type-1 fuzzy sets, which guarantees the rationality of our methods in this paper. Then, based on the fact that a type-1 fuzzy set can be constructed by a collection of intervals, an algorithm for constructing general type-2 fuzzy sets based on the collections of interval type-2 fuzzy sets was proposed. Furthermore, a new concept, interval type-2 fuzzy sets with uncertain bounds, was defined. And the ways for constructing general type-2 fuzzy sets by give interval type-2 fuzzy sets with uncertain bounds and constructing interval type-2 fuzzy sets with uncertain bounds by given general type-2 fuzzy sets were proposed. Finally, from the viewpoint of uncertain bounds, the essence of type-n fuzzy sets was discussed.
Keywords :
fuzzy set theory; general interval type-2 fuzzy set construction; interval estimation; nested set representation theorem; type-1 fuzzy sets; type-n fuzzy sets; uncertain bounds; Educational institutions; Electronic mail; Estimation; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Uncertainty; Construction; General type-2 fuzzy sets(T2 FSs); Interval type-2 fuzzy sets(IT2 FSs); Type-n fuzzy sets(Tn FSs); Uncertain bounds;
Conference_Titel :
Granular Computing (GrC), 2013 IEEE International Conference on
Conference_Location :
Beijing
DOI :
10.1109/GrC.2013.6740396