Abstract
One area of study in rough set theory is the ability to select a subset of the condition attributes which adequately describe an information system. For the variable precision rough sets model (VPRS), its associated ß-reduct selection process is compounded by a ß value defining the VPRS related majority inclusion relation to object classification. This paper investigates the role of an iterative procedure in the necessary ß-reduct selection process.
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© 2004 Springer-Verlag Berlin Heidelberg
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Beynon, M.J. (2004). The Elucidation of an Iterative Procedure to ß-Reduct Selection in the Variable Precision Rough Sets Model. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_49
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DOI: https://doi.org/10.1007/978-3-540-25929-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22117-3
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