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» On the cardinality of fuzzy sets
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CADE
2010
Springer
14 years 8 days ago
MUNCH - Automated Reasoner for Sets and Multisets
This system description provides an overview of the MUNCH reasoner for sets and multisets. MUNCH takes as the input a formula in a logic that supports expressions about sets, multi...
Ruzica Piskac, Viktor Kuncak
TSP
2008
139views more  TSP 2008»
13 years 11 months ago
Bayesian Filtering With Random Finite Set Observations
This paper presents a novel and mathematically rigorous Bayes recursion for tracking a target that generates multiple measurements with state dependent sensor field of view and clu...
Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni
EH
2002
IEEE
266views Hardware» more  EH 2002»
14 years 4 months ago
Towards Evolvable Analog Fuzzy Logic Controllers
Fuzzy Logic has proved to be a very powerful technique in the discipline of system control. A Fuzzy Logic Controller is defined by a collection of fuzzy if-then rules and a set of...
José Franco Machado do Amaral, Jorge Lu&iac...
DSS
2006
118views more  DSS 2006»
13 years 11 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 9 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...