An algorithm of characteristic expansion for fuzzy reasoning based on triple I method

被引：0

作者：

Li, SW ^{[1
]}

Xiong, FL ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Machine Intelligence, Hefei 230031, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

fuzzy reasoning; triple I method; characteristic expansion algorithm; expert systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In accordance with the problem of fuzzy reasoning in the longer reasoning chaining of expert systems, the fuzzy reasoning algorithm of characteristic expansion based on triple I method was proposed in this paper. The fuzzy reasoning model, a new set of algorithms applied to imprecise spreading in expert systems, was deducted. Besides, this model just accorded with the general model of imprecise reasoning of expert systems in abstract framework and was widely available. The barrier of fuzzy reasoning in expert systems was broken down theoretically.

引用

页码：464 / 468

页数：5