The Elucidation of an Iterative Procedure to ß-Reduct Selection in the Variable Precision Rough Sets Model
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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