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» Uncertainty measures for interval type-2 fuzzy sets
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ISCI
2007
138views more  ISCI 2007»
13 years 5 months ago
Uncertainty measures for interval type-2 fuzzy sets
Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewn...
Dongrui Wu, Jerry M. Mendel
FOCI
2007
IEEE
13 years 11 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
TFS
2008
153views more  TFS 2008»
13 years 3 months ago
Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach
This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). ...
Feilong Liu, Jerry M. Mendel
FUZZIEEE
2007
IEEE
13 years 9 months ago
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets
Fuzzy logic is frequently used in computing with words (CWW). When input words to a CWW engine are modeled by interval type-2 fuzzy sets (IT2 FSs), the CWW engine's output can...
Dongrui Wu, Jerry M. Mendel
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
Christian Wagner, Hani Hagras