Completing incomplete data based on maximum similarity in Rough sets
Xiaoping Yang · Computer Engineering and Applications Journal · 2012
It is usually to change incomplete data into complete data in knowledge acquirement using Rough set theory.Completing incomplete data based on the maximum similarity in Rough sets is introduced.The method builds similar relationships and defines the similarity between objects,and finds objects with maximum similarity depending on the similarity.And then completing data is completed.The maximum similarity between objects is kept in the information system handled by the method.