Identification of general aggregation operators by Lipschitz approximation
Aggregation operators model various operations on fuzzy sets, such as conjunction, disjunction and aver aging. The choice of aggregation operators suitable for a particular problem is frequently done by fitting the parameters of the operator to the observed data. This paper examines fitting general aggregation operators by using a new method of Lipschitz approximation.<br>
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Location
Innsbruck, AustriaLanguage
engPublication classification
E1 Full written paper - refereedCopyright notice
2005, ACTA PressEditor/Contributor(s)
M HamzaPagination
230 - 233Start date
2005-02-14End date
2005-02-16ISBN-13
9780889864573ISBN-10
0889864578Title of proceedings
Proceedings of the IASTED International Conference on Artficial Intelligence and Applications : February 14-16, 2005, Innsbruck, AustriaEvent
Artficial Intelligence and Applications (2005 : Innsbruck, Austria)Publisher
ACTA PressPlace of publication
Anaheim, CAUsage metrics
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