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Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model Proceedings

Authors :
Wang, Guoyin
Liu, Qing
Yao, Yiyu
Skowron, Andrzej
Beynon, Malcolm James
Wang, Guoyin
Liu, Qing
Yao, Yiyu
Skowron, Andrzej
Beynon, Malcolm James

Abstract

In this paper an investigation on the utilisation of the degree of dependency and quality of classification measures in the extended variable precision rough sets model is undertaken. The use of (l, u)-graphs enable these measures to aid in the classification of objects to a number of categories for a choice of l and u values and selection of a (l, u)-reduct.

Details

Database :
OAIster
Notes :
10.1007/3-540-39205-X_40
Publication Type :
Electronic Resource
Accession number :
edsoai.on1257827782
Document Type :
Electronic Resource