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2016 | 26 | 2 | 407-421
Tytuł artykułu

An n-ary λ-averaging based similarity classifier

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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
26
Numer
2
Strony
407-421
Opis fizyczny
Daty
wydano
2016
otrzymano
2015-09-01
poprawiono
2016-02-02
zaakceptowano
2016-02-19
Twórcy
  • 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
  • School of Business and Management, Lappeenranta University of Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
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