Skip to main content
SpringerLink
Log in

Decision-Making Rules Based on Belief Interval with D-S Evidence Theory

  • Conference paper
Fuzzy Information and Engineering

Part of the book series: Advances in Soft Computing ((AINSC,volume 40))

  • 785 Accesses

Abstract

The uncertainty decision-making method is discussed in the paper. Pointing out the shortage of existing rule when decision information is incomplete, putting forward the colligation rule and the conception of unitary operator, the proof is given that the operator is in existence. It is an important tool when we transfer the frame of belief to the probability structure. Finally, a numerical example is given to illustrate the use of the calculation methods.

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 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. Yen, J.: Evidential reasoning in expert systems, pp. 21–34. University of California, Berkeley (1986)

    Google Scholar 

  2. Smets, P.: The transferable belief model and random sets. Int. J. Intell. Systems 7, 37–46 (1992)

    Article  MATH  Google Scholar 

  3. Pan, W., Wang, Y., Yang, H.: Decision Rule Analysis of Dempster-Shafer Theory of Evidence. Computer Engineering and Application 14, 14–17 (2004)

    Google Scholar 

  4. Yue, C.: Theories and Methods of Decision Making, pp. 194–221. Science Press, Beijing (2003)

    Google Scholar 

  5. Duan, X.: Evidence Theory and Decision Making, Intelligence, pp. 32–48. China Renmin University Press, Beijing (1993)

    Google Scholar 

  6. Yager, R.R.: Minimization of Regret Decision Making with Dempster-Shafer Uncertainty. In: 2004 IEEE Fuzzy Systems Conference Proceedings, Budapest, Hungary, pp. 511–515. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  7. Yager, R.R.: Decision making under Dempster-Shafer uncertainties. Int. J. general systems 20, 233–245 (1992)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Traffic Information Institute, Shandong University of Science and Technology, 579 Qianwangang Road , Qingdao Economic & Technical Development Zone Qingdao, Shandong Province,266510, China

    Lv Wenhong

Authors
  1. Lv Wenhong
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Bing-Yuan Cao

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wenhong, L. (2007). Decision-Making Rules Based on Belief Interval with D-S Evidence Theory. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_67

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71441-5_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71440-8

  • Online ISBN: 978-3-540-71441-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation