English

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.

Keywords

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

R2 v1 2026-06-21T18:28:31.218Z