CADIAG-2 and MYCIN-like systems are-expert systems with numerous appli
cations in medicine. CADIAG-2 is a fuzzy expert system based on max-mi
n inference, while MYCIN-like systems use combining functions to calcu
late the global weights (degrees) of suggested diagnoses. This paper b
rings a comparison of CADIAG-2. and MYCIN-like systems. If studies rel
ations between them and shows how CADIAG-2 can be embedded into MYCIN-
like systems. An approach of inclusion of negative knowledge into CADI
AG-2 is proposed. Some remarks regarding the acquisition of weights of
rules are given as well. (C) 1997 Elsevier Science B.V.