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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
Fishburn, P.C.: Utility theory for decision making. Wiley, New York (1969)
Fishburn, P.C.: Nonlinear preferences and utility theory. John Hopkins University Press, Baltimore (1988)
Itô, K. (ed.): Encyclopedic dictionary of mathematics. MIT Press, Cambridge (1993)
Kosheleva, O.M., Kreinovich, V.: Computational complexity of game-theoretic problems. Technical Report, Leningrad Center for New Information Technology “Informatika”, Leningrad (1989) (in Russian)
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
Markov, S.: On the Algebra of Intervals and Convex Bodies. J. UCS 4(1), 34–47 (1998)
Markov, S.: On the Algebraic Properties of Convex Bodies and Some Applications. J. Convex Analysis 7, 129–166 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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