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» A selection approach for scalable fuzzy integral combination
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INFFUS
2010
104views more  INFFUS 2010»
13 years 2 months ago
A selection approach for scalable fuzzy integral combination
We consider the problem of collective decision-making from an arbitrary set of classifiers under Sugeno fuzzy integral (S-FI). We assume that classifiers are given, i.e., they can...
Pilar Bulacio, Serge Guillaume, Elizabeth Tapia, L...
MLMI
2005
Springer
13 years 10 months ago
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
Andrey Temko, Dusan Macho, Climent Nadeu
ACIVS
2008
Springer
13 years 11 months ago
Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...
OGAI
1993
13 years 9 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse
CSDA
2006
122views more  CSDA 2006»
13 years 4 months ago
The fuzzy approach to statistical analysis
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes. These namely are:...
Renato Coppi, María Angeles Gil, Henk A. L....