8,157 research outputs found
Rough set theory and its applications, Journal of Telecommunications and Information Technology, 2002, nr 3
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be illustrated by a simple tutorial example, concerning churn modeling in telecommunications. Real life applications require more advanced extensions of the theory but we will not discuss these extensions here. Rough set theory has an overlap with many other theories dealing with imperfect knowledge, e.g., evidence theory, fuzzy sets, Bayesian inference and others. Nevertheless, the theory can be regarded as an independent, complementary, not competing, discipline in its own rights
Class-based Rough Approximation with Dominance Principle
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.Comment: Submitted to IEEE-GrC201
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