Paper Info
Title
On a Criterion for Evaluating the Accuracy of Approximation by Variable Precision Rough Sets
Abstract
We introduce a new criterion for evaluating the accuracy of approximation in variable precision rough set models. The authors have proposed an evaluation criterion of relative reducts in Pawlak's rough sets, which is based on counting equivalent classes that are used for upper approximations constructed from relative reducts. By introducing this idea to evaluation of the accuracy of approximation, the proposed criterion evaluates the accuracy of approximation by the average certainty scores of equivalent classes that are used in beta-lower approximations and beta-upper approximations, respectively.
Year
DOI
Venue
2010
10.1007/978-3-642-11960-6_29
INTEGRATED UNCERTAINTY MANAGEMENT AND APPLICATIONS
Field
DocType
Volume
Applied mathematics,Mathematical optimization,Approximate entropy,Decision table,Variable precision,Rough set,Mathematics
Conference
68
ISSN
Citations 
PageRank 
1867-5662
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Yasuo Kudo19526.41
Tetsuya Murai218642.10