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In practice, there are many dynamic covering decision information systems,and knowledge reduction of dynamic covering decision information systems is asignificant challenge of covering-based rough sets. In this paper, we firststudy mechanisms of constructing attribute reducts for consistent coveringdecision information systems when adding objects using related families. Wealso employ examples to illustrate how to construct attribute reducts ofconsistent covering decision information systems when adding objects. Then weinvestigate mechanisms of constructing attribute reducts for consistentcovering decision information systems when deleting objects using relatedfamilies. We also employ examples to illustrate how to construct attributereducts of consistent covering decision information systems when deletingobjects. Finally, the experimental results illustrates that the relatedfamily-based methods are effective to perform attribute reduction of dynamiccovering decision information systems when object sets are varying with time.

Related families-based attribute reduction of dynamic covering information systems with variations of object sets