Title :
Extension of the Sugeno Integral with Interval Type-2 Fuzzy Logic
Author :
Mendoza, O. ; Melin, P.
Author_Institution :
Sch. of Eng., Univ. of Baja California, Tijuana
Abstract :
This paper presents a generalization of the Sugeno Integral with Interval Type-2 Fuzzy Logic. The generalization includes modifying the original equations of the Sugeno Measures and Sugeno Integral, initially proposed only for Type-1 Fuzzy Logic. The new interval Type-2 fuzzy logic equations enable calculation of the interval Type-2 Sugeno Integral for combining multiple source of information. Preliminary results show that the interval Type-2 Sugeno integral is able to improve uncertainty management in decision problems.
Keywords :
decision theory; fuzzy logic; fuzzy set theory; integral equations; type theory; Sugeno integral; decision theory; fuzzy set theory; interval type-2 fuzzy logic; uncertainty management; Fuzzy logic; Fuzzy sets; Image edge detection; Image recognition; Information resources; Integral equations; Neural networks; Pattern recognition; Training data; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531333
