Abstract
The form of the utility function over multi-dimensional consequences depends on the point estimates of the scaling constants. Fuzzy rational decision makers elicit those in the form of uncertainty intervals. The paper proposes an analytical justification and a numerical realization of the uniform method that finds point estimates of interval scaling constants. The main assumption of the technique is that constants are uniformly distributed in their uncertainty intervals. The density of the constants’ sum is constructed using preliminarily chosen knots. A new numerical procedure to calculate the I type error p value of a two-tail test for singularity of the constants’ sum is proposed. All numerical procedures are embodied into program functions. The application of the method is demonstrated in examples. The connection between precision and time for analysis is investigated. Comparison of the analytical uniform method and an earlier proposed simulation realization is also conducted.
Similar content being viewed by others
References
De Groot, M. H. (1970). Optimal statistical decisions. McGraw-Hill.
Farquhar P.H. (1984). Utility assessment methods. Management Science 30(11): 1283–1300
Forsythe, G. E., Malcolm, A., & Moler, C. B. (1976). Computer methods for mathematical computations. Prentice-Hall.
Hanke, J. E., & Reitsch, A. G. (1991). Understanding business statistics. Irwin.
Keeney, R. L., & Raiffa, H. (1993). Decisions with multiple objectives: Preference and value tradeoffs. Cambridge University Press.
Nikolova N.D., Shulus A., Toneva D. and Tenekedjiev K. (2005). Fuzzy rationality in quantitative decision analysis. Journal of Advanced Computational Intelligence and Intelligent Informatics 9(1): 65–69
Nikolova N.D. (2007). Uniform method for estimation of interval scaling constants. International Journal on Engineering & Automation Problems 1: 79–90
Savage, L. J. (1954). The foundations of statistics (1st ed.). John Wiley.
Tenekedjiev, K., Nikolova, N. D., & Dimitrakiev, D. (2004). Application of the triple bisection method for extraction of subjective utility information. In Proceedings of the Second International Conference Management and Engineering, 2004, vol. 2(70) (pp. 115–117). Sofia, Bulgaria.
Tenekedjiev K. (2004). Quantitative decision analysis: Utility theory and subjective statistics. Marin Drinov Academic Publishing House, Sofia, Bulgaria
Von Neumann, J., & Morgenstern, O. (1947). Theory of games and economic behavior (2nd ed.). Princeton University Press.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Tenekedjiev, K., Nikolova, N. Justification and numerical realization of the uniform method for finding point estimates of interval elicited scaling constants. Fuzzy Optim Decis Making 7, 119–145 (2008). https://doi.org/10.1007/s10700-008-9027-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10700-008-9027-0