Skip to main content
SpringerLink
Log in

Fuzzy Probability Theory

  • Chapter
  • First Online:
Simulating Fuzzy Systems

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 171))

  • 754 Accesses

Abstract

In this chapter we look more closely at the fuzzy binomial distribution, the fuzzy Poisson, and at the fuzzy normal,exponential and uniform densities. We need to be familiar with these fuzzy probability functions because their use transforms crisp systems theory to fuzzy system theory (Chap. 5). The material in this chapter is based on [1-4].

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

  1. Department of Mathematics, University of Alabama at Birmingham, AL 35294-1170, Birmingham, USA

    Professor James J. Buckley

Authors
  1. Professor James J. Buckley
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this chapter

Cite this chapter

J. Buckley, J. Fuzzy Probability Theory. In: Simulating Fuzzy Systems. Studies in Fuzziness and Soft Computing, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32375-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-32375-4_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24116-4

  • Online ISBN: 978-3-540-32375-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation