Skip to main content
SpringerLink
Log in

A Theory of Event Possibility with Application to Vehicle Waypoint Navigation

  • Conference paper
  • First Online:
Fuzzy Logic in Intelligent System Design (NAFIPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 648))

Included in the following conference series:

  • 983 Accesses

Abstract

A previous paper by the author introduced a procedure for computing the possibility of an event based on the notion of context, where the context of an event consists of prerequisites for the event to occur and constraints that may prevent it from occurring. It was proposed to compute the possibility of the event as a function of the probabilities that the prerequisites hold and the constraints do not. The function adopts the conventional rules of possibility theory, so the overall procedure involves a combination of probability and possibility. The present paper briefly recounts those ideas and provides an example application, this being a hypothetical case of navigating a car through city streets.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and 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

Institutional subscriptions

References

  1. Dubois, D., Prade, H.: Possibility Theory. Plenum, New York (1988)

    Book  MATH  Google Scholar 

  2. Kolmogorov, A.N.: Foundations of the Theory of Probability. Chelsea Publishing, New York (1950)

    MATH  Google Scholar 

  3. Schwartz, D.G.: On the possibility of an event. In: Proceedings of the 18th International Conference on Artificial Intelligence (ICAI 2016) (Held as part of WorldComp 2016), 25–28 July 2016, Las Vegas, USA, pp. 47–51 (2016)

    Google Scholar 

  4. Yager, R.R. (ed.): Fuzzy Set and Possibility Theory: Recent Developments. Pergamon Press, Oxford (1982)

    MATH  Google Scholar 

  5. Zadeh, L.A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1, 3–28 (1978)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Florida State University, Tallahassee, FL, USA

    Daniel G. Schwartz

Authors
  1. Daniel G. Schwartz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel G. Schwartz .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Reformat

  5. Laboratory of Computational Intelligence and Automation, University of Waterloo, Waterloo, Ontario, Canada

    William Melek

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Schwartz, D.G. (2018). A Theory of Event Possibility with Application to Vehicle Waypoint Navigation. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67137-6_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67136-9

  • Online ISBN: 978-3-319-67137-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation