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

Dun LiuContact Information, Tianrui LiContact Information and Pei HuContact Information

(4)  School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, P.R. China
(5)  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


Contact Information Dun Liu
Email: newton83@163.com

Contact Information Tianrui Li
Email: trli@swjtu.edu.cn

Contact Information Pei Hu
Email: huhupei@126.com
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