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1 International Journal of Applied Mathematics and Computer Science

1 2016

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An n-ary λ-averaging based similarity classifier

Kurama O., Luukka P., Collan M.

International Journal of Applied Mathematics and Computer Science

2016

Vol. 26, no. 2

407--421

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