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一般关系粗糙集的近似分类精度和质量

朱晓钟 杨勇 朱英丽

计算机应用与软件2011,Vol.28Issue(5):52-54,3.
计算机应用与软件2011,Vol.28Issue(5):52-54,3.

一般关系粗糙集的近似分类精度和质量

APPROXIMATION CLASSIFIED PRECISION AND QUALITY BASED ON GENERAL RELATION ROUGH SET

朱晓钟 1杨勇 2朱英丽1

作者信息

  • 1. 西北师范大学数学与信息科学学院,甘肃,兰州,730070
  • 2. 河海大学计算机与信息学院(常州),江苏,常州,213011
  • 折叠

摘要

Abstract

In approximation space ( U, R ) determined by equivalence relation R, the approximate classification accuracy expresses the percentage the correct decision occupies among all possible decisions made, and the approximate classification quality indicates the percentage the applied knowledge R precisely belongs to the objects of known classification. In this article these two mentioned concepts are extended to the generalised approximation space which is determined by general (binary) relation. By introducing the concept of solitary set, the metric formulae are given, and their rationalities are attested with an example at the end.

关键词

粗糙集/一般(二元)关系/近似分类精度/近似分类质量

Key words

Rough set/ General (binary) relation/ Approximate classification accuracy/ Approximate classification quality

引用本文复制引用

朱晓钟,杨勇,朱英丽..一般关系粗糙集的近似分类精度和质量[J].计算机应用与软件,2011,28(5):52-54,3.

基金项目

国家自然科学基金(10771171) (10771171)

兰州市科技计划项目(2008-1-34). (2008-1-34)

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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