Sciweavers

22 search results - page 1 / 5
» Advances in type-2 fuzzy sets and systems
Sort
View
ISCI
2007
116views more  ISCI 2007»
13 years 4 months ago
Advances in type-2 fuzzy sets and systems
In this state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described. Inter...
Jerry M. Mendel
ISCI
2007
138views more  ISCI 2007»
13 years 4 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 8 months ago
Type-2 Fuzzy Sets: Geometric Defuzzification and Type-Reduction
This paper presents the geometric defuzzifier for generalised type-2 fuzzy sets. This defuzzifier can be executed in real-time and can therefore be applied to control and other rea...
Simon Coupland
TFS
2008
190views more  TFS 2008»
13 years 4 months ago
A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets
Generalised type-2 fuzzy logic systems can not currently be used for practical problems because the amount of computation required to defuzzify a generalised type-2 fuzzy set is to...
Simon Coupland, Robert John
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 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