Title :
Type-2 Fuzzy Logic System and Level Set
Author :
XaoLing Ye ; Fu, LingLing ; Zhang, Yingchao
Author_Institution :
NUIST, Nanjing
Abstract :
The basic theory of a type-2 Fuzzy Logic Systems (FLSs) is presented, an efficient and simplified method to convert a type-2 fuzzy to a crisp result in a type-2 FLS is proposed, which is a straightforward way for the liberation of computation complexity, and the example shows that it also keeps the vague that it should have. A important application of fuzzy set is the research of language model, The traditional fuzzy set exist great deficiency in the espression of natural language, but the type-2 fuzzy set can remedy the imperfect in great extent,so compare to the type-1 fuzzy set the type-2 one has a better superiority and development space.
Keywords :
computational complexity; fuzzy logic; fuzzy set theory; computation complexity; fuzzy set; level set; type-2 fuzzy logic system; Control engineering; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Level set; Noise shaping; Set theory; Shape; Uncertainty;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.62