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- W2000627613 abstract "Roughness is an important uncertainty measure for a concept in an information system. By introducing a definition of α-knowledge granulation, a new uncertainty measure, called α-knowledge granulation based roughness (α-GKR), of a set is proposed in this paper. And then, MGKR, a special case of α-GKR measure, is deduced. It is generalized from the Pawlak's roughness and has two significant properties. In the case that two concepts in an information system provide an identical Pawlak's roughness, the new roughness measure for each concept depends on the corresponding partition or on the knowledge granulation of this partition. Moreover, the MGKR measure inherits the order relation from the Pawlak's roughness. Theoretical and experimental results show that the new uncertainty measure is more precise than existing ones." @default.
- W2000627613 created "2016-06-24" @default.
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- W2000627613 date "2010-08-01" @default.
- W2000627613 modified "2023-09-28" @default.
- W2000627613 title "A novel roughness measure based on knowledge granulation" @default.
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- W2000627613 doi "https://doi.org/10.1109/fskd.2010.5569629" @default.
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