2011 | OriginalPaper | Buchkapitel
A Generalization of Near Set Model
verfasst von : Lidong Wang, Xiaodong Liu, Xiaojuan Tian
Erschienen in: Rough Sets and Knowledge Technology
Verlag: Springer Berlin Heidelberg
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In the classical near set model, the probe functions described by a single assertion (feature) subset, which are established through a single granulation from the view of granular computing. In this work, we aim to extend Peters’s near set model to a multi-granulation near set model, in which the probe functions are some expression of the set of assertions (features) logically compounded under logic operation “
or
”. Moreover, near lower and upper approximations are defined by using the neighborhoods based on AFS description logics.