Similarity Classes on Fuzzy Implications
Anestis G. Hatzimichailidis and Basil K. Papadopoulos
In this paper we present an algorithm, which helps us to define a similarity relation of fuzzy implications. This similarity relation allows us to partition by clustering fuzzy implications in equivalence classes.