Hybrid classification uses existing (formal and informal) decision rul
es to synthesize new efficient classification rules. Most of the known
classification algorithms are shown to have a hybrid structure. The s
pecific features of the hybridization process and evolutionary synthes
is of optimal hybrids are considered. Applications of hybrid classific
ation in drug synthesis, medical diagnosis, and criminological experti
se are described.