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
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;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122571