Skip to main content

Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order

  • Conference paper
Large-Scale Scientific Computing (LSSC 2003)

Abstract

To describe the response of engineering complex systems to various damage mechanics, engineers have traditionally use number-valued utilities to describe the results of different possible outcomes, and (number-valued) probabilities (often, subjective probabilities) to describe the relative frequency of different outcomes. This description is based on the assumption that experts can always make a definite preference between two possible outcomes, i.e., that the set of all outcomes is linearly (totally) ordered. In practice, experts often cannot make a choice, their preference is only a partial order. In this paper, we describe a new approach based on partial order.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Bowers, R.A., Parker, R.G., Tanenbaum, P.J.: Tcl/Tk in Survivability Modeling for Military Systems. In: Proceedings of 8th Annual Tcl/Tk Conference (2001)

    Google Scholar 

  2. Fishburn, P.C.: Utility theory for decision making. Wiley, New York (1969)

    Google Scholar 

  3. Fishburn, P.C.: Nonlinear preferences and utility theory. John Hopkins University Press, Baltimore (1988)

    Google Scholar 

  4. Itô, K. (ed.): Encyclopedic dictionary of mathematics. MIT Press, Cambridge (1993)

    Google Scholar 

  5. Kosheleva, O.M., Kreinovich, V.: Computational complexity of game-theoretic problems. Technical Report, Leningrad Center for New Information Technology “Informatika”, Leningrad (1989) (in Russian)

    Google Scholar 

  6. Kosheleva, O., Kreinovich, V., Nguyen, H.T., Bouchon-Meunier, B.: How to describe partially ordered preferences: mathematical foundations. In: Nguyen, H.P., Ohsato, A. (eds.) Proceedings of the Vietnam-Japan Bilateral Symposium on Fuzzy Systems and Applications VJFUZZY 1998, HaLong Bay, Vietnam, pp. 269–278 (1998), http://www.cs.utep.edu/vladik/1998/tr98-23.ps.gz or http://www.cs.utep.edu/vladik/1998/tr98-23.pdf

  7. Markov, S.: On the Algebra of Intervals and Convex Bodies. J. UCS 4(1), 34–47 (1998)

    MATH  MathSciNet  Google Scholar 

  8. Markov, S.: On the Algebraic Properties of Convex Bodies and Some Applications. J. Convex Analysis 7, 129–166 (2000)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tanenbaum, P.J. et al. (2004). Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order. In: Lirkov, I., Margenov, S., Waśniewski, J., Yalamov, P. (eds) Large-Scale Scientific Computing. LSSC 2003. Lecture Notes in Computer Science, vol 2907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24588-9_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24588-9_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21090-0

  • Online ISBN: 978-3-540-24588-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics