DocumentCode
2923181
Title
Class-based Rough Approximation with dominance principle
Author
Chai, Junyi ; Liu, James N K
Author_Institution
Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China
fYear
2011
fDate
8-10 Nov. 2011
Firstpage
77
Lastpage
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
approximation theory; rough set theory; DRSA; MCDA; Pawlak rough set theory; class based rough approximation; dominance based rough set approach; dominance principle; multiple criteria decision analysis; Analytical models; Approximation methods; Computational modeling; Conferences; Optimization; Transmission line measurements; Uncertainty; decision class; dominance principle; multiple criteria decision analysis; rough set approach;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4577-0372-0
Type
conf
DOI
10.1109/GRC.2011.6122571
Filename
6122571
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