CAN APPROXIMATE REASONING BE CONSISTENT

被引：21

作者：

BUCKLEY, JJ ^{[1
]}

HAYASHI, Y ^{[1
]}

机构：

[1] IBARAKI UNIV,DEPT COMP & INFORMAT SCI,HITACHI,IBARAKI 316,JAPAN

来源：

FUZZY SETS AND SYSTEMS | 1994年 / 65卷 / 01期

关键词：

APPROXIMATE REASONING; FUZZY EXPERT SYSTEMS; CONSISTENCY; FUZZY REASONING;

D O I：

10.1016/0165-0114(94)90243-7

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 [计算机软件与理论];

摘要：

A fuzzy expert system, with one block of rules, is said to be consistent if when the input data exactly matches the antecedent of a certain rule, then the final conclusion of the fuzzy expert system exactly matches the consequence of that rule. We investigate the two types of approximate reasoning: (1) first infer then aggregate (FITA), and (2) first aggregate then infer (FATI). We argue that FITA can be consistent but FATI is, in general, not consistent.

引用

页码：13 / 18

页数：6

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