Variable precision rough set model
Journal of Computer and System Sciences
Various approaches to reasoning with frequency based decision reducts: a survey
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Adapted variable precision rough set approach for EEG analysis
Artificial Intelligence in Medicine
Knowledge discovery of remote sensing classification rules based on variable precision rough set
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
A model of user-oriented reduct construction for machine learning
Transactions on rough sets VIII
Cancer data investigation using variable precision Rough set with flexible classification
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Alternative rule induction methods based on incremental object using rough set theory
Applied Soft Computing
Hi-index | 0.00 |
In this paper, we discuss attribute reduction in variable precision rough set model. We consider several kinds of reducts preserving some of lower approximations, upper approximations, boundary regions and the unpredictable region. We show relations among those kinds of reducts. Moreover we discuss logical function representations of the preservation of lower approximations, upper approximations, boundary regions and the unpredictable region as a basis for reduct calculation. By those discussions, the great difference between the analysis using variable precision rough sets and the classical rough set analysis is emphasized.