A Hierarchical Granulation of Knowledge Based on Variable Precision Rough Set Theory
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TL;DR
Based on variable precision rough set theory, granularity of knowledge in with approximation and quality of classification is discussed, then it is presented that a nested sequence of equivalence relations can lead to a hierarchical granulation.
Abstract
Based on variable precision rough set theory, this paper discusses granularity of knowledge in with approximation and quality of classification, then presents that a nested sequence of equivalence relations can lead to a hierarchical granulation on various levels of confidence β and quality of classification γ. An algorithm is put forward and a figure of hierarchical granulation is given with an example.