Determining Significance of Attributes in the Unified Rough Set Approach

This paper discusses the problems arising in applications of the unified rough and fuzzy rough set approach to analysis of inconsistent information systems. The unified approach constitutes a parameterized generalization of the variable precision rough set model. It bases on a single notion of parameterized i¾?-approximation. As a necessary extension, a method suitable for a correct determination of attributes' significance is proposed. In particular, the notions of positive i¾?-classification region and i¾?-approximation quality are considered. A criterion for reduction of condition attributes is given. Furthermore, a generalized definition of the fuzzy extension i¾?is proposed.

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