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Class-based Rough Approximation with Dominance Principle by Chai, Junyi; Liu, James N. K. is a scholarly article available to read on EtoBox.

What is Class-based Rough Approximation with Dominance Principle about?

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.

Author

Chai, Junyi; Liu, James N. K.

Published

2011

Language

EN