Abstract
There are different methods for interval comparison used in modeling, optimization and decision making in interval setting. These methods make it possible to compare intervals with real valued bounds. Nevertheless, in practice, for example in the rule-base evidential reasoning in interval setting, the problem of comparing intervals with interval bounds arises. In this report, a method for comparison of intervals with interval bounds is proposed and illustrated using numerical examples. This method is based on the mathematical tools of the Dempster-Shafer theory of evidence.
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
Dempster, A.P.: Upper and lower probabilities induced by a muilti-valued mapping. Ann. Math. Stat. 38, 325–339 (1967)
Dempster, A.P.: A generalization of Bayesian inference (with discussion). J. Roy. Stat. Soc., Series B 30, 208–247 (1968)
Dymova, L., Sevastianov, P., Bartosiewicz, P.: A new approach to the rule-base evidential reasoning: stock trading decision support system application. Expert Systems with Applications 37, 5464–5576 (2010)
Moore, R.E.: Interval analysis. Prentice-Hall, Englewood Cliffs (1966)
Sevastjanov, P.: Numerical methods for interval and fuzzy number comparison based on the probabilistic approach and Dempster-Shafer theory. Information Sciences 177, 4645–4661 (2007)
Shafer, G.: A mathematical theory of evidence. Princeton University Press, Princeton (1976)
Wang, X., Kerre, E.E.: Reasonable properties for the ordering of fuzzy quantities (I) (II). Fuzzy Sets and Systems 112, 387–405 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sevastjanov, P., Bartosiewicz, P., Tkacz, K. (2012). A Method for Comparing Intervals with Interval Bounds. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31500-8_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-31500-8_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31499-5
Online ISBN: 978-3-642-31500-8
eBook Packages: Computer ScienceComputer Science (R0)