Please use this identifier to cite or link to this item:
Title: Class-based rough approximation with dominance principle
Authors: Chai, Junyi
Liu, James N. K.
Subjects: Decision class
Dominance principle
Multiple criteria decision analysis
Rough set approach
Issue Date: 8-Nov-2011
Publisher: IEEE
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.
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.
Type: Conference Paper
DOI: 10.1109/GRC.2011.6122571
ISBN: 978-1-4577-0372-0
Appears in Collections:COMP Conference Papers & Presentations

Files in This Item:
File Description SizeFormat 
Chai_1106.5601.pdfPre-published version186.86 kBAdobe PDFView/Open

All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.