@misc{Kurama_Onesfole_An,
 author={Kurama, Onesfole and Luukka, Passi and Collan, Mikael},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={We introduce a new n-ary [lambda] similarity classifier that is based on a new n-ary [lambda]-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 [lambda]-averaging has been used only in binary aggregation. Here the [lambda]-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.},
 type={artykuł},
 title={An n-ary [lambda]-averaging based similarity classifier},
 keywords={similarity classifier with [lambda]-averaging, n-ary [lambda]-averaging operator, n-ary t-norm, n-ary t-conorm, classification},
}