Similarity classifier based on modifications on Schweizer & Sklars equations

In this article we have applied Schweizer & Sklars implication based measures with extension to generalized mean to classification task. We compare results to fuzzy similarity measure based classification and show that sometimes better results can be found by using these measures than fuzzy similarity measure. We also show that classification results are not so sensitive to p values with Schweizer & Sklars measures than when fuzzy similarity is used. Also investigation for correct mean values is carried out.