AN N-ARY lambda-AVERAGING BASED SIMILARITY CLASSIFIER

摘要

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.