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» A Type 2 fuzzy system modelling algorithm
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HAIS
2011
Springer
12 years 11 months ago
Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management
The modelling of real-world complex systems is an area of ongoing interest for the research community. Real-world systems present a variety of challenges not least of which is the ...
Simon Miller, Mario A. Góngora, Robert John
ISCI
2007
138views more  ISCI 2007»
13 years 7 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
FUZZIEEE
2007
IEEE
14 years 1 months ago
On the Accuracy of Type-2 Fuzzy Sets
— Geometric Type-2 Fuzzy sets allow us to model type-2 fuzzy sets using geometry providing significant improvement in speed of computation. This paper explores in detail how wel...
Simon Coupland, Robert John
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months 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...
TFS
2008
190views more  TFS 2008»
13 years 6 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