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
收藏
页码：374 / 378
页数：5
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