Rough sets and gradual decision rules

被引：0
|
作者：
Greco, S
Inuiguchi, M
Slowiniski, R
机构：
[1] Univ Catania, Fac Econ, I-95129 Catania, Italy
[2] Osaka Univ, Grad Sch Engn, Suita, Osaka 5650871, Japan
[3] Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland
来源：
ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING | 2003年 / 2639卷
关键词：
rough sets; fuzzy sets; decision rules; gradual rules; credibility;
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：
We propose a new fuzzy rough set approach which, differently from all known fuzzy set extensions of rough set theory, does not use any fuzzy logical connectives (t-norm, t-conorm, fuzzy implication). As there is no rationale for a particular choice of these connectives, avoiding this choice permits to reduce the part of arbitrary in the fuzzy rough approximation. Another advantage of the new approach is that it is based on the ordinal property of fuzzy membership degrees only. The concepts of fuzzy lower and upper approximations are thus proposed, creating a base for induction of fuzzy decision rules having syntax and semantics of gradual rules.
引用
收藏
页码：156 / 164
页数：9
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