Skip to main content

A Nonlinear Multiregression Model Based on the Choquet Integral for Analyzing the Course Records

  • Conference paper
Emerging Computation and Information teChnologies for Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 146))

  • 999 Accesses

Abstract

The score of the final examination of a student has some relation to the previous records, such as the average score of quizzes, the scores of tests, the number of incomplete homework, and the number of absent class meetings. The relation is usually nonlinear since there are some interactions among the inherent but covert contributions from these previous records towards the final examination. Regarding the score of the final examination as the objective attribute and the previous records as the predictive attributes, the nonlinear multiregression based on the Choquet integral with respect to a nonadditive measure is a proper tool to catch the interaction and, therefore, describe above-mentioned relation well. In this paper, a 2-interactive measure is used as the nonadditive measure to reduce the computational complexity.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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. Murofushi, T., Sugeno, M.: A theory of fuzzy measures: representations, the Choquet integral, and null sets. Journal of Mathematical Analysis and Applications 159, 532–549 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  2. Sugeno, M.: Theory of Fuzzy Integral and its Applications. Ph. D. dissertation, Tokyo Institute of Technology (1974)

    Google Scholar 

  3. Walpoie, R.E., Myers, R.H., Myers, S.L., Ye, K.: Probability & Statistics for Engineers & Scientists, 9th edn. Prentice Hall, Boston (2011)

    Google Scholar 

  4. Wang, Z., Klir, G.J.: Fuzzy Measure Theory. Plenum, New York (1992)

    MATH  Google Scholar 

  5. Wang, Z., Leung, K.S., Klir, G.: Applying fuzzy measures and nonlinear integrals in data mining. Fuzzy Sets and Systems 156, 371–380 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Wang, Z., Yang, R., Leung, K.S.: Nonlinear Integrals and Their Applications in Data Mining. World Scientific, Singapore (2010)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Wang, Z., Nian, Y., Chu, J., Shi, Y. (2012). A Nonlinear Multiregression Model Based on the Choquet Integral for Analyzing the Course Records. In: Mao, E., Xu, L., Tian, W. (eds) Emerging Computation and Information teChnologies for Education. Advances in Intelligent and Soft Computing, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28466-3_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28466-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28465-6

  • Online ISBN: 978-3-642-28466-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics