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FOCI
2007
IEEE
15 years 9 months ago
Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
Jerry M. Mendel, Dongrui Wu
136
Voted
EUSFLAT
2009
262views Fuzzy Logic» more  EUSFLAT 2009»
15 years 10 days ago
Type-2 Fuzzy Arithmetic using Alpha-planes
Abstract-- This paper examines type-2 fuzzy arithmetic using interval analysis. It relies heavily on alpha-cuts and alpha-planes. Furthermore, we discuss the use of quasi type-2 fu...
Hussam Hamrawi, Simon Coupland
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
15 years 10 days ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
145
Voted
EAAI
2006
161views more  EAAI 2006»
15 years 2 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan