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A New Rough Sets Decision Method Based on PCA and Ordinal Regression
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A New Rough Sets Decision Method Based on PCA and Ordinal Regression
Dun Liu4 , Tianrui Li5 and Pei Hu4 
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School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, P.R. China |
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School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, P.R. China |
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.
Keywords Principal component analysis - rough sets theory - ordinal regression - classification
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