A New Rough Sets Decision Method Based on PCA and Ordinal Regression

Authors:
Dun Liu;Tianrui Li;Pei Hu
Affiliations:
School of Economics and Management, Southwest Jiaotong University, Chengdu, P.R. China 610031;School of Information Science and Technology, Southwest Jiaotong University, Chengdu, P.R. China 610031;School of Economics and Management, Southwest Jiaotong University, Chengdu, P.R. China 610031
Venue:
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Year:
2008

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Abstract

The classical multivariate statistical method can only discuss the effectiveness of result, but can't explain the cause and intrinsic mechanism when dealing with classification problems. In this paper, a new rough sets decision method based on the Principal Component Analysis (PCA) and the ordinal regression is proposed which may help to explain the cause and the intrinsic mechanism of classification problems. An empirical study is employed to validate the reasonability and effectiveness of the proposed method.