FUZZY CONCEPTS IN EXPERT SYSTEMS

被引：83

作者：

LEUNG, KS

LAM, W

机构：

[1] Chinese Univ of Hong Kong, Hong Kong

来源：

COMPUTER | 1988年 / 21卷 / 09期

关键词：

COMPUTER ARCHITECTURE - MATHEMATICAL TECHNIQUES -- Fuzzy Sets;

D O I：

10.1109/2.14346

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The authors present a comprehensive expert-system building tool, called System Z-II, that can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. This fully implemented tool has been used to build several expert systems in the fields of student curriculum advisement, medical diagnosis, psychoanalysis, and risk analysis. System Z-II is a rule-based system that uses fuzzy logic and fuzzy numbers for its inexact reasoning. It uses two basic inexact concepts, fuzziness and uncertainty, which are distinct from each other in the system.

引用

页码：43 / 56

页数：14

共 10 条

[1] REPRESENTATION AND SEMIAUTOMATIC ACQUISITION OF MEDICAL KNOWLEDGE IN CADIAG-1 AND CADIAG-2
ADLASSNIG, KP
KOLARZ, G
[J]. COMPUTERS AND BIOMEDICAL RESEARCH, 1986, 19 (01): : 63 - 79
[2] Buchanan B. G., 1984, RULE BASED EXPERT SY
[3] Kaufmann A., 1985, INTRO FUZZY ARITHMET
[4] LEUNG KS, P TENCON 87 IEEE REG, P650
[5] THE IMPLEMENTATION OF FPROLOG - A FUZZY PROLOG INTERPRETER
MARTIN, TP
BALDWIN, JF
PILSWORTH, BW
[J]. FUZZY SETS AND SYSTEMS, 1987, 23 (01) : 119 - 129
[6] MIZUMOTO M, 1979, ADV FUZZY SET THEORY, P117
[7] ONEILL JL, 1987, AUST COMPUT J, V19, P2
[8] Shafer G., 1976, MATH THEORY EVIDENCE
[9] WHALEN T, 1982, ADV FUZZY SETS POSSI
[10] WHALEN T, 1982, 1982 P INT C CYB SOC

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