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A Multi-view Decision Model Based on CCA

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Rough Sets and Knowledge Technology (RSKT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9436))

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Abstract

Three-way decision theory divides all samples into three regions: positive region, negative region and boundary region. A lack of detailed information may make a definite decision impossible for samples in boundary region. These samples may be further handled by using new information. In this paper, we propose a method Multi-View Decision Model based on constructive three-way decision theory. Multi-view Decision Model mines the global information of all samples for decision. All samples firstly are decided by MinCA, which builds the min covers for each class. Then samples in boundary region are classified using Multi-view information. Experiments have shown that in most cases, Multi-View Decision Model is beneficial for reducing boundary region and promoting classification precision.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61175046, No. 61402006), supported by Provincial Natural Science Research Program of Higher Education Institutions of Anhui Province (No. KJ2013A016), and supported by Open Funding Project of Co-Innovation Center for Information Supply & Assurance Technology of Anhui University (No. ADXXBZ201410).

Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Hefei, 230601, Anhui, People’s Republic of China

    Jie Chen, Shu Zhao & Yanping Zhang

  2. Center of Information Support and Assurance Technology, Anhui University, Hefei, 230601, Anhui, People’s Republic of China

    Jie Chen, Shu Zhao & Yanping Zhang

  3. School of Computer Science and Technology, Anhui University, Hefei, 230601, Anhui, People’s Republic of China

    Jie Chen, Shu Zhao & Yanping Zhang

Authors
  1. Jie Chen
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  2. Shu Zhao
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  3. Yanping Zhang
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Corresponding author

Correspondence to Shu Zhao .

Editor information

Editors and Affiliations

  1. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  2. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  3. Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  4. Zhejiang Ocean University, Zhejiang, China

    Wei-Zhi Wu

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Chen, J., Zhao, S., Zhang, Y. (2015). A Multi-view Decision Model Based on CCA. In: Ciucci, D., Wang, G., Mitra, S., Wu, WZ. (eds) Rough Sets and Knowledge Technology. RSKT 2015. Lecture Notes in Computer Science(), vol 9436. Springer, Cham. https://doi.org/10.1007/978-3-319-25754-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-25754-9_24

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-25754-9

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