Obtaining fuzzy control query table by data mining

被引：2

作者：

Jun, Gao ^{[1
]}

机构：

[1] Shanghai Inst Technol, Shanghai, Peoples R China

来源：

SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 2, PROCEEDINGS | 2007年

关键词：

fuzzy control system; fuzzy control query table; association rule data mining;

D O I：

10.1109/SNPD.2007.323

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The key to a good fuzzy control system is its fuzzy control query table, and the system's performance mainly depends on the quality of the table. Based on analyzing fully the principles of a typical fuzzy control systems and the procedures of building a fuzzy control table, this paper presents a new method of applying the boolean association rule data mining techniques to mining of fuzzy control query. table directly from the database of manual operating records.

引用

页码：374 / 378

页数：5