The Lower System, the Upper System and Rules with Stability Factor in Non-deterministic Information Systems

被引：0
|
作者：
Sakai, Hiroshi [1 ]
Hayashi, Kohei [1 ]
Nakata, Michinori [2 ]
Slezak, Dominik [3 ,4 ]
机构：
[1] Kyushu Inst Technol, Dept Basic Sci, Fac Engn, Math Sci Sect, Kitakyushu, Fukuoka 804, Japan
[2] Josai Int Univ, Fac Management & Informat Sci, Chiba 283, Japan
[3] Warsaw Univ, Math Inst, PL-02097 Warsaw, Poland
[4] Infobright Inc, PL-02097 Warsaw, Poland
来源：
ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING, PROCEEDINGS | 2009年 / 5908卷
基金：
日本学术振兴会;
关键词：
Rough sets; Non-deterministic information; Incomplete information; Rule generation; Apriori algorithm; Stability factor;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A rule in a Deterministic Information System (DIS) is often defined by an implication T such that both support(tau) >= alpha and accuracy(tau) >= beta hold for the threshold values alpha and beta. In a Nondeterministic Information System (NIS), there are derived DISs due to the information incompleteness. A rule in a DIS was extended to either a rule in the lower system or a rule in the upper system in a NI'S. This paper newly introduces a criterion, i.e., stability factor, into rules in a N I S. Rules in the upper system are classified according to the stability factor.
引用
收藏
页码：313 / +
页数：2
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