Creator:

Kurama, Onesfole ; Luukka, Passi ; Collan, Mikael

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Title:

An n-ary [lambda]-averaging based similarity classifier

Group publication title:

AMCS, Volume 26 (2016)

Subject and Keywords:

similarity classifier with [lambda]-averaging ; n-ary [lambda]-averaging operator ; n-ary t-norm ; n-ary t-conorm ; classification

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Type:

artykuł

DOI:

10.1515/amcs-2016-0029

Pages:

407-421

Source:

AMCS, volume 26, number 2 (2016) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego