An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X 2001. An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model. Lecture Notes in Computer Science 2005 , pp. 114-122. 10.1007/3-540-45554-X_13

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Abstract

The Variable Precision Rough Sets Model (VPRS) is an extension of the original Rough Set Theory. To employ VPRS analysis the decision maker (DM) needs to define satisfactory levels of quality of classification and β (confidence) value. This paper considers VPRS analysis when the DM only defines a satisfactory level of quality of classification. Two criteria for selecting a β-reduct under this condition are discussed. They include the use of permissible β intervals associated with each β-reduct. An example study is given illustrating these criteria. The study is based on US state level data concerning motor vehicle traffic fatalities.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer Verlag
ISSN:	0302-9743
Last Modified:	21 Oct 2022 09:50
URI:	https://orca.cardiff.ac.uk/id/eprint/37982

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