Function approximation by fuzzy rough sets

被引：2

作者：

Inuiguchi, M ^{[1
]}

Tanino, T ^{[1
]}

机构：

[1] Osaka Univ, Grad Sch Engn, Suita, Osaka 5650871, Japan

来源：

INTELLIGENT SYSTEMS FOR INFORMATION PROCESSING: FROM REPRESENTATION TO APPLICATIONS | 2003年

关键词：

fuzzy rough sets; approximation; continuous attribute; inference;

D O I：

10.1016/B978-044451379-3/50007-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we show a possible application of fuzzy rough sets to function approximation based on decision tables. Through this study, we demonstrate that continuous attribute values can be treated by fuzzy rough sets. A general approach for reasoning of decision attribute values from condition attribute values based on a given decision table is presented. A specific method in one dimensional case is discussed and some properties of the method are shown. Some modifications are applied for getting a better approximation and a smaller body of rules.

引用

页码：93 / 104

页数：12

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