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Variable Threshold Valued Tolerance Relation in Incomplete Information System
Liu ping,Xiong xiaoxiao,Yang Junping 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.7
Aiming at the incomplete information systems on the condition of no prior domain knowledge, several known model extension based on the rough set theory are introduced at first, such as the tolerance relation, non-symmetric similarity relation, limited tolerance relation and valued tolerance relation. Then the merits and drawbacks of several existing valued tolerance relations are compared in this article. Next, the experiments on some UCI data sets have been done ,based on the experimental result, the author discuss the relationship between the threshold selection and classification accuracy of statistical valued tolerance relation(SVT) . Directing at the difficulty of selecting a suitable threshold, the author presents a new improved valued tolerance relation (NVT) which can choose proper threshold automatically on the basis of each data set’s feature. Experiment results indicate that the new relation can get better classification accuracy than the other extension models in dealing with the incomplete system which has small incomplete degree
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