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Title: Class-based rough approximation with dominance principle
Authors: Chai, J
Liu, JNK
Issue Date: 8-Nov-2011
Source: Proceedings : 2011 IEEE International Conference on Granular Computing, GrC 2011, Kaohsiung, Taiwan, Nov. 8-10, 2011, p. 77-82
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 preserve the class unions rather than the singleton class. In this paper, we propose a new Class-based Rough Approximation with respect to different DRSA models including Classical DRSA model, VC-DRSA model and VP-DRSA model. In addition, we explore the new class-based reducts and their relations.
Keywords: Decision class
Dominance principle
Multiple criteria decision analysis
Rough set approach
Publisher: IEEE
ISBN: 978-1-4577-0372-0
DOI: 10.1109/GRC.2011.6122571
Rights: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication Chai, J., & Liu, J. N. K. (2011). Class-based rough approximation with dominance principle. Paper presented at the Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011, 77-82. is available at
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