Class-based Rough Approximation with Dominance Principle
Computational Complexity
2016-11-17 v2 Artificial Intelligence
Abstract
Dominance-based Rough Set Approach (DRSA), as the extension of Pawlak's Rough Set theory, is effective and fundamentally important in Multiple Criteria Decision Analysis (MCDA). In previous DRSA models, the definitions of the upper and lower approximations are preserving the class unions rather than the singleton class. In this paper, we propose a new Class-based Rough Approximation with respect to a series of previous DRSA models, including Classical DRSA model, VC-DRSA model and VP-DRSA model. In addition, the new class-based reducts are investigated.
Cite
@article{arxiv.1106.5601,
title = {Class-based Rough Approximation with Dominance Principle},
author = {Junyi Chai and James N. K. Liu},
journal= {arXiv preprint arXiv:1106.5601},
year = {2016}
}
Comments
Submitted to IEEE-GrC2011