SIMILARITY MEASUREMENT IN INTERPOLATIVE FUZZY REASONING
Zsolt Csaba Johanyák, Szilveszter Kovács, Hungarian Republic · 2005
Systems based on interpolative fuzzy reasoning work with sparse rule bases. In case of some input values the system should approximate the output value. Carrying out this task depends on the right selection of the suitable fuzzy similarity measure. The goal of this paper is presenting two of such measures, which are also applied in some interpolation based fuzzy reasoning methods.