Title :
Embedded interval valued type-2 fuzzy sets
Author_Institution :
Dept. of Comput. Sci., De Montfort Univ., Leicester, UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
Type-2 fuzzy sets are growing in popularity as, for certain applications they model uncertainty and imprecision better than type-1 fuzzy sets. However, type-2 fuzzy sets can be difficult to understand and explain. Recent work has introduced embedded type-2 fuzzy sets and the representation theorem which enable us to discuss type-2 fuzzy sets in a different way. In particular they allow for alternative proofs of theoretical results which are often easier to follow. Interval valued type-2 fuzzy sets are found to be useful in many application. This paper presents embedded interval valued type-2 fuzzy sets to aid the discussion of interval valued type-2 fuzzy sets and to prove the join and meet of interval valued type-2 fuzzy sets
Keywords :
fuzzy set theory; modelling; uncertain systems; embedded interval valued type-2 fuzzy sets; imprecision; representation theorem; uncertainty; Application software; Computational intelligence; Computer science; Fuzzy logic; Fuzzy sets; Marine vehicles; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006694
