Pattern classification using grey tolerance rough sets
Abstract
Purpose
– The purpose of this paper is to propose that the grey tolerance rough set (GTRS) and construct the GTRS-based classifiers.
Design/methodology/approach
– The authors use grey relational analysis to implement a relationship-based similarity measure for tolerance rough sets.
Findings
– The proposed classification method has been tested on several real-world data sets. Its classification performance is comparable to that of other rough-set-based methods.
Originality/value
– The authors design a variant of a similarity measure which can be used to estimate the relationship between any two patterns, such that the closer the relationship, the greater the similarity will be.
Subject
Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)
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