Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
We introduce a new n-ary λ similarity classifier that is based on a new n-ary λ-averaging operator in the aggregation of similarities. This work is a natural extension of earlier research on similarity based classification in which aggregation is commonly performed by using the OWA-operator. So far λ -averaging has been used only in binary aggregation. Here the λ-averaging operator is extended to the n-ary aggregation case by using t-norms and t-conorms. We examine four different n-ary norms and test the new similarity classifier with five medical data sets. The new method seems to perform well when compared with the similarity classifier
Rocznik
Tom
Strony
407--421
Opis fizyczny
Bibliogr. 40 poz., tab., wykr.
Twórcy
autor
- Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland; Department of Mathematics, Makerere University, P.O. Box 7062, Kampala, Uganda
autor
- Laboratory of Applied Mathematics, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland; School of Business and Management, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland
autor
- School of Business and Management, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland
Bibliografia
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-11714819-0e9d-4ec9-aaf1-faa2dd563092