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Intelligent Decision Support System for Exercise Prescription: Based on Rough Sets

  • Conference paper
Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

This paper presents Intelligent Decision Support System (IDSS) for exercise prescription to cure obesity, through literature review, field survey with the application of rough sets theory. The gross structure and functional structure of this system are addressed in this paper. 300 samples are collected and are classified into two groups with 220 samples being training sample and 80 samples being test sample. The experiment is conducted based on these two sample groups and results are acquired. The IDSS for exercise prescription can analyze treatment protocols of various obese patients and propose some practical models and offer references to perfect exercise prescriptions for different obese patients.

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Author information

Authors and Affiliations

  1. Shandong University of Finance, 38, Shungeng rode, Jinan, China

    Fing Beng

Authors
  1. Fing Beng
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Beng, F. (2011). Intelligent Decision Support System for Exercise Prescription: Based on Rough Sets. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_6

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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