CADIAG-2 and MYCIN-like systems

被引：22

作者：

Daniel, M ^{[1
]}

Hajek, P ^{[1
]}

Nguyen, PH ^{[1
]}

机构：

[1] VIETNAM NATL CTR NAT SCI & TECHNOL, INST INFORMAT TECHNOL, HANOI, VIETNAM

来源：

ARTIFICIAL INTELLIGENCE IN MEDICINE | 1997年 / 9卷 / 03期

关键词：

combining functions; expert systems; fuzzy inference; fuzzy relations; MYCIN-like systems; rule based systems; uncertainty; vagueness;

D O I：

10.1016/S0933-3657(96)00376-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. If 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. (C) 1997 Elsevier Science B.V.

引用

页码：241 / 259

页数：19

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