δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions
Decision-theoretic rough set is a quite useful rough set by introducing the decision cost into probabilistic approximations of the target. However, Yao’s decision-theoretic rough set is based on the classical indiscernibility relation; such a relation may be too strict in many applications. To solve...
Saved in:
Main Authors: | Hengrong Ju, Huili Dou, Yong Qi, Hualong Yu, Dongjun Yu, Jingyu Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/382439 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Attribute Reduction Based on Consistent Covering Rough Set and Its Application
by: Jianchuan Bai, et al.
Published: (2017-01-01) -
Rough sets theory and its extensions for attribute reduction: a review
by: Sadegh Eskandari
Published: (2021-06-01) -
Uncertainty Measurement and Attribute Reduction Algorithm Based on Kernel Similarity Rough Set Model
by: Baoguo Chen, et al.
Published: (2022-01-01) -
Multigranulations Rough Set Method of Attribute Reduction in Information Systems Based on Evidence Theory
by: Minlun Yan
Published: (2014-01-01) -
Uncertainty Analysis of Knowledge Reductions in Rough Sets
by: Ying Wang, et al.
Published: (2014-01-01)