Unifying Variable Precision and Classical Rough Sets: Granular Approach

Tsau Young Lin,Yu Ru Syau

doi:10.1007/978-3-642-30341-8_19

Unifying Variable Precision and Classical Rough Sets: Granular Approach

Tsau Young Lin, Yu Ru Syau

https://doi.org/10.1007/978-3-642-30341-8_19

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Publication Date: Jan 1, 2013

Citations: 29

Affiliation: San Jose State University, National University of Formosa, National Formosa University

#Classical Rough Sets #Neighborhood Systems + Show 8 more

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Abstract

The primary goal of this paper is to show that neighborhood systems (NS) can integrate Ziarko’s variable precision and Pawlak ’s classical rough sets into one concept. NS was introduced by T.Y. Lin in 1989 to capture the concepts of “near” (in generalized topology) and “conflicts” (studied using non-reflexive and symmetric binary relation). Currently, NS’s are widely used in granular computing.

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