Skip to main content
SpringerLink
Log in

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))

Included in the following conference series:

  • 903 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yang, S., Liu, Y.: Attribute Reduction Algorithm in Rough Sets Model: Based onβ-δ 0. Management Science of China 10 (2003)

    Google Scholar 

  2. Yao, Y.Y.: A comparative of Rough fuzzy sets and rough sets. International Journal of General Systems 109, 227–242 (1998)

    MATH  Google Scholar 

  3. Ziarko, W.P.: Rough sets, fuzzy sets and knowledge discovery, pp. 32–44. Springer, New York (1994)

    Book  MATH  Google Scholar 

  4. Pawlak, Z.: Rough set—Theoretical aspects of reasoning about data, pp. 9–51. Kluwer Academic Publishers, London (1991)

    MATH  Google Scholar 

  5. Yu, W., Renji, W.: “Data Reduction” Based on Rough Set Theory. Journal of Computer Science and Technology 21(5), 393–400 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

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

    Fing Beng

Authors
  1. Fing Beng
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics

Search

Navigation