Skip to main content

A Constructive Numerical Method for the Comparison of Intervals

  • Conference paper
  • First Online:
Parallel Processing and Applied Mathematics (PPAM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2328))

Abstract

A probabilistic approach to the comparison of two intervals is developed. The method is based on the assumption that random variables are independently and uniformly distributed at given intervals. It allows all possible cases of interval location and intersection and of ordering of interval and real number to be taken into account. Additionally, this method allows the widths of the intervals to be taken into account in the ordering procedure. It should be noted that the probabilistic approach was used only to infer the set of formulae needed to estimate quantitatively the degree to which one interval is less or equal to another interval. The measure of such a degree may be treated formally as one of probability, but the term “possibility” can be also used, as it better reflects the sense of the relation between the intervals in many cases.

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. Fit R. J.: Propagating temporal constrains for scheduling. Proc. Fifth National Conf. on AI (AAAI-86) Morgan Kaufmann Loa Atos CA (1986) 383–388

    Google Scholar 

  2. Berttiny C.: A formalization of interval based temporal subsumption in first order logic. Foundation of Knowledge Representation and Reasonin Lect. Notes In AI 810 Springer Verlag Berlin (1994) 53–73

    Google Scholar 

  3. Kulpa Z.: Diagrammatic representation for a space of intervals. Machine Graphics and Vision 6 no. 1 (1997) 5–24

    MathSciNet  Google Scholar 

  4. Diamond Ph. Kloeden P.: Metric spaces of fuzzy sets. Fuzzy sets and Systems 35 (1990) 241–251

    Article  MathSciNet  MATH  Google Scholar 

  5. Helpern S.: Using distance between fuzzy numbers in socio-economic systems. In R. Trapl (Ed.) Cybernetic and Systems (1994) World Scientific Singapor (1994) 279–286

    Google Scholar 

  6. Helpern S.: Representation and application of fuzzy numbers. Fuzzy sets and Systems 91 (1997) 259–268

    Article  MathSciNet  Google Scholar 

  7. Moore R.E.: Interval Analysis-Englewood Cliffs. N.J.: Prentice-Hall (1966)

    MATH  Google Scholar 

  8. Ishihichi H., Tanaka M.: Multiobjective programming in optimization of the Interval Objective Function. European Journal of Operational Research 48 (1990) 219–225

    Article  Google Scholar 

  9. Chanas S., Kuchta D.: Multiobjective Programming in optimization of the Interval Objective Functions-a generalized approach. European Journal of Operational Research 94 (1996) 594–598

    Article  MATH  Google Scholar 

  10. Walster G.W., Bierman M.S.: Inmterval Arithmetic in Forte Developer Fortran. Technical Report. Sun Microsystems (March 2000)

    Google Scholar 

  11. C++ Interval Arithmetic Library Reference. http:/docs.sun.com/htmlcollcoll.693/iso-8859-1/CPPARIT.../iapgrefman.htm.

    Google Scholar 

  12. Sevastianov P., Venberg A.: Modeling and optimization of work of the power units under interval uncertainty. Energetics N 3 Minsk (1998) 66–70 (in Russian)

    Google Scholar 

  13. Sevastianov P., Valkovsky V.: The Procedure of Fuzzy Interval Simulation of Technology-Economic Systems. Information Technologies N 6 Moskwa (1999) 23–26 (in Russian)

    Google Scholar 

  14. Sevastianov P., Valkovsky V.: The Simulation of Technological processes in logistics under condition of fuzzy initial data. Resources. Information. Supply. Competition N 2-3 Moskwa (1999) 79–83 (in Russian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sevastjanov, P.V., Róg, P., Venberg, A.V. (2002). A Constructive Numerical Method for the Comparison of Intervals. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2001. Lecture Notes in Computer Science, vol 2328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48086-2_84

Download citation

  • DOI: https://doi.org/10.1007/3-540-48086-2_84

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43792-5

  • Online ISBN: 978-3-540-48086-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics