title: CADIAG-2 and MYCIN-like systems.
abstract: 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.
authors.affiliation: Institute of Computer Science, Academy of Sciences of the Czech Republic, Praha, Czech Republic. milan@uivt.cas.cz
authors.forename: M
authors.initials: M
authors.lastname: Daniel
authors.forename: P
authors.initials: P
authors.lastname: Hájek
authors.forename: P H
authors.initials: PH
authors.lastname: Nguyen
mesh_terms: D005103:Expert Systems