Title :
On the importance of interval sets in type-2 fuzzy logic systems
Author :
Mendel, Jerry M.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Type-2 fuzzy logic systems (FLSs) allow uncertainties that occur in rule-based FLSs to be modeled using the new third dimension of type-2 fuzzy sets. Although a complete theory of type-2 FLSs exists for general type-2 fuzzy sets, it is only for interval type-2 fuzzy sets that type-2 FLSs are practical. This paper explains why this is so
Keywords :
fuzzy logic; fuzzy set theory; uncertainty handling; 3D membership functions; interval sets; interval type-2 fuzzy sets; type-2 fuzzy logic systems; uncertainty modelling; Fuzzy logic; Fuzzy sets; Inference mechanisms; Shape; Uncertainty; Visualization;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943798
