期刊名称：International Journal of Applied Mathematics and Computer Science
电子版ISSN：2083-8492
出版年度：2016
卷号：26
期号：2
DOI：10.1515/amcs-2016-0029
出版社：De Gruyter Open
摘要：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
关键词：similarity classifier with λ -averaging; n -ary λ -averaging operator; n -ary t-norm; n -ary t-conorm; classification
