Reducts within the variable precision rough sets model: A further investigation

Reducts within the variable precision rough sets model: A further investigation

0.00 Avg rating0 Votes
Article ID: iaor20022070
Country: Netherlands
Volume: 134
Issue: 3
Start Page Number: 592
End Page Number: 605
Publication Date: Nov 2001
Journal: European Journal of Operational Research
Authors:
Keywords: statistics: empirical, datamining
Abstract:

One fundamental aspect of the variable precision rough sets (VPRS) model involves a search for subsets of condition attributes which provide the same information for classification purposes as the full set of available attributes. Such subsets are labelled ‘approximate reducts’ or ‘β-reducts’, being defined for a specified classification error denoted by β. This paper undertakes a further investigation of the criteria for a β-reduct within VPRS. Certain anomalies and interesting implications are identified. An additional condition is suggested for finding β-reducts which assures a more general level knowledge equivalent to that of the full set of attributes.

Reviews

Required fields are marked *. Your email address will not be published.