Skip to main content

Abstract

Liu’s inference is a process of deriving consequences from fuzzy knowledge or evidence via the tool of conditional credibility. Using membership functions, this paper derives some expressions of Liu’s inference rule for fuzzy systems. This paper also gives some new inference rules with multiple antecedents and with multiple if-then rules.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Gao, X., Gao, Y., Ralescu, D.A.: On Liu’s inference rule for uncertain systems. Int. J. Uncertainty Fuzziness Knowledge Based Syst. 18, 1–11 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Li, X., Liu, B.: A sufficient and necessary condition for credibility measures. Int. J. Uncertainty Fuzziness Knowledge Based Syst. 14, 527–535 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  3. Li, X., Liu, B.: Foundation of credibilistic logic. Fuzzy Optim. Decis. Making 8, 91–102 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  4. Liu, B., Liu, Y.K.: Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans. Fuzzy Syst. 10, 445–450 (2002)

    Article  Google Scholar 

  5. Liu, B.: Uncertainty Theory. Springer, Berlin (2004)

    Book  Google Scholar 

  6. Liu, B.: A survey of credibility theory. Fuzzy Optim. Decis. Making 5, 387–408 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  7. Liu, B.: Uncertainty Theory, 2nd edn. Springer, Berlin (2007)

    MATH  Google Scholar 

  8. Liu, B.: Some research problems in uncertainty theory. J. Uncertain Syst. 3, 3–10 (2009)

    Google Scholar 

  9. Liu, B.: Uncertainty Theory, 3rd edn., http://orsc.edu.cn/liu/ut.pdf

  10. Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7, 1–13 (1975)

    Article  MATH  Google Scholar 

  11. Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybern. SMC-3, 28–44 (1973)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gao, X., Ralescu, D.A., Gao, Y. (2010). On Liu’s Inference Rules for Fuzzy Inference Systems. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14055-6_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14054-9

  • Online ISBN: 978-3-642-14055-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics