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

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Rough Sets and Current Trends in Computing (RSCTC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5306))

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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.

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Author information

Authors and Affiliations

  1. School of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, P.R. China

    Dun Liu & Pei Hu

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, P.R. China

    Tianrui Li

Authors
  1. Dun Liu
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  2. Tianrui Li
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  3. Pei Hu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, The University of Akron, OH 44325-4003, Akron, USA

    Chien-Chung Chan

  2. Department of Electrical Engineering and Computer Science, University of Kansas, KS 66045, Lawrence, USA

    Jerzy W. Grzymala-Busse

  3. Department of Computer Science, University of Regina,, S4S 0A2, Regina, Saskatchewan, Canada

    Wojciech P. Ziarko

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© 2008 Springer-Verlag Berlin Heidelberg

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Liu, D., Li, T., Hu, P. (2008). A New Rough Sets Decision Method Based on PCA and Ordinal Regression. In: Chan, CC., Grzymala-Busse, J.W., Ziarko, W.P. (eds) Rough Sets and Current Trends in Computing. RSCTC 2008. Lecture Notes in Computer Science(), vol 5306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88425-5_36

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  • DOI: https://doi.org/10.1007/978-3-540-88425-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88423-1

  • Online ISBN: 978-3-540-88425-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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