Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
402637 | Knowledge-Based Systems | 2010 | 7 Pages |
Abstract
This article deals with approaches to attribute reductions in inconsistent incomplete decision table. The main objective of this study is to extend a kind of attribute reductions called a lower approximation reduct and an upper approximation reduct, which preserve the lower/upper approximation distribution of a target decision. Several judgement theorems of a lower/upper approximation consistent set in inconsistent incomplete decision table are educed. Then, the discernibility matrices associated with the two approximation reductions are examined as well, from which we can obtain approaches to attribute reduction of an incomplete decision table in rough set theory.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma,