CADIAG-2 and MYCIN-like systems

CADIAG-2 and MYCIN-like systems are expert systems with numerous applications in medicine. CADIAG-2 is a fuzzy expert system based on max-min inference, while MYCIN-like systems use combining functions to calculate the global weights (degrees) of suggested diagnoses. This paper brings a comparison of CADIAG-2 and MYCIN-like systems. It studies relations between them and shows how CADIAG-2 can be embedded into MYCIN-like systems. An approach of inclusion of negative knowledge into CADIAG-2 is proposed. Some remarks regarding the acquisition of weights of rules are given as well.