The superiority of three-way decisions in probabilistic rough set models

被引：573

作者：

Yao, Yiyu ^{[1
]}

机构：

[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada

来源：

INFORMATION SCIENCES | 2011年 / 181卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Cost-sensitive classifiers; Decision-theoretic rough sets; Probabilistic rough sets; Ternary classifiers; Three-way decisions; Bayesian decision procedure; FRAMEWORK;

D O I：

10.1016/j.ins.2010.11.019

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Three-way decisions provide a means for trading off different types of classification error in order to obtain a minimum cost ternary classifier. This paper compares probabilistic three-way decisions, probabilistic two-way decisions, and qualitative three-way decisions of the standard rough set model. It is shown that, under certain conditions when considering the costs of different types of miss-classifications, probabilistic three-way decisions are superior to the other two. (C) 2010 Elsevier Inc. All rights reserved.

引用

页码：1080 / 1096

页数：17

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