Skip to main content

On the Change of the Distribution Shape of Randomized Fuzzy Variables by Filtering over Compatibility Degrees

  • Conference paper
  • 323 Accesses

Part of the book series: Advances in Soft Computing ((AINSC,volume 6))

Abstract

A fuzzy output of a fuzzy controller is usually determined by a deterministic procedure e.g. by the center-of-gravity method. A fuzzy controller is a special case of a fuzzy-rule based system. If a fuzzy-rule based system should be used to simulate a real system, some indeterminacy and uncertainty about the system output may be desirable. The output can be generated as follows: first a λ-level set is randomly generated according to some rules, then an element of the generated λ-level set is chosen according to the uniform distribution over the chosen λ-level set. The result of this procedure is a probability distribution over the output set. We can influence this process in various ways e.g. we can “filter out” some undesirable compatibility degrees λ.We study the impact of such a “filtering” on the shape of the resulting probability density function over the output space.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baldwin, J.F.: Mass assignments and fuzzy sets for fuzzy databases. In: Fedrizzi M., Kacprzyk J., Yager R. R. (eds.): Advances in the Shaffer Dampster Theory of Evidence, John Wiley, (1992)

    Google Scholar 

  2. Chanas, S., Nowakowski M.: From fuzzy data to a single action–a simulation approach. In: Kacprzyk J., Fedrizzi M. (eds.): Combining fuzzy imprecision with probabilistic uncertainty in decision making. Springer Verlag (1988) 331–341

    Chapter  Google Scholar 

  3. Goodman, I.R.: Fuzzy sets as equivalence class of random sets. In: Yager R.T.(ed.): Recent Developments in Fuzzy Set and Possibility Theory. Pergamon Press, (1981)

    Google Scholar 

  4. Klir, G.J., Yuan, B.: Fuzzy sets and fuzzy logic. Prentice Hall, (1995)

    Google Scholar 

  5. Li, Q.D.: The random set and the cutting of random fuzzy sets. Fuzzy Sets and Systems 86 (1997) 223–234

    Article  MathSciNet  MATH  Google Scholar 

  6. Sustal, J.G.: On fuzzy confidence intervals and modelling of random variables. In: Zimmermann, H.J.(ed.): Proceedings of EUFIT 97, Vol. 1 (1997) 350–352

    Google Scholar 

  7. Weber, K.: Fuzzy rules generation and fuzzy inference based on frquency distributions. In: Brewka, G. et. al. (eds.): Fuzzy-Neuro Systems 99, Leipziger Universitätsverlag, (1999)

    Google Scholar 

  8. Wang, P.Z.: Random sets and fuzzy sets. In: International Encyclopedia on Systems and Control, Pergamon Press, (1983)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sustal, J.G. (2000). On the Change of the Distribution Shape of Randomized Fuzzy Variables by Filtering over Compatibility Degrees. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1841-3_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1327-2

  • Online ISBN: 978-3-7908-1841-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics