Rough sets theory

被引：307

作者：

Walczak, B ^{[1
]}

Massart, DL ^{[1
]}

机构：

[1] Free Univ Brussels, Inst Pharmaceut, ChemoAC, B-1090 Brussels, Belgium

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1999年 / 47卷 / 01期

关键词：

set theory; classification; QSAR; rough sets; supervised pattern recognition;

D O I：

10.1016/S0169-7439(98)00200-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The basic concepts of the rough set theory are introduced and adequately illustrated. An example of the rough set theory application to the QSAR classification problem is presented. Numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact, uncertain, or vague chemical data. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：1 / 16

页数：16

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