| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 394911 | Information Sciences | 2011 | 17 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yiyu Yao,