Attribute reduction based on related families of fuzzy covering rough sets

Attribute reduction is the most important tool in rough set theory. To extend the application range, many fuzzy rough set models have been proposed, but less effort has been made for attribute reduction. In this paper, we construct a new method based on related family to get attribute reducts for fuzzy β-covering rough sets.

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