Granular Computing as a Basis for Consistent Classification Problems
نویسنده
چکیده
Within a granular computing model of data mining, we reformulate the consistent classification problems. The granulation structures are partitions of a universe. A solution to a consistent classification problem is a definable partition. Such a solution can be obtained by searching a particular partition lattice. The new formulation enables us to precisely and concisely define many notions, and to present a more general framework for classification.
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