Approximation of sets based on partial covering
Theoretical Computer Science
Partial first-order logic with approximative functors based on properties
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Approximation of sets based on partial covering
Transactions on Rough Sets XVI
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Granulation plays an essential role in human cognition and has a position of centrality in both granular computing and rough set theory. Informally, granulation involves partitioning of an object into granules, with a granule being a clump of elements drawn together by indistinguishability, equivalence, similarity, proximity or functionality. For example, an interval is a granule; so is a fuzzy interval; so is a gaussian distribution; so is a cluster of points; and so is an equivalence class in rough set theory. A granular variable is a variable which takes granules as values. If Gis value of X, then Gis referred to as a granular value of X. If Gis a singleton, then Gis a singular value of X. A linguistic variable is a granular variable whose values are labeled with words drawn from a natural language. For example, if Xis temperature, then 101.3 is a singular value of temperature, while "high" is a granular (linguistic) value of temperature.