Abstract
There is a wide interest in the use of judgement models for real life decision making. However recent research in the psychology of decision making has pointed to serious shortcomings which are often not recognized by the practitioner and are also neglected by the analyst. We shall examine some conceptual inferences by looking at different versions of calculating preferences and discuss their usefulness for real life applications.
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
Cogger, K. O. and Yu, P. L. (1983), “Eigen Weight Vectors and Least Distance Approximation for Revealed Preference in Pairwise Weight Ratios”, ORSA/TIMS Conference.
Coombs, C. H. (1964), “A Theory of Data”, John Wiley, New York.
Islei, G. and Lockett, A. G. (1986), “An Approach to Preference Vector Derivation Using Geometric Least Square”, Proceedings of VIIth International Conference of M. C. D. M.
Kahneman, D. and Tversky, A. (1982), “Judgement under Uncertainty: Heuristics and Biases”, Cambridge University Press, Cambridge.
Keeney, R. L. and Raiffa, H. (1976), “Decisions with Multiple Objectives: Preferences and Value Tradeoffs”, John Wiley, New York.
Lockett, A. G. and Hetherington, B. (1983), “Subjective Data and MCDM”, in “Essays and Surveys on Multiple Criteria Decision Making”, Ed. P. Hansen, Springer Verlag, pp. 247–259.
Lockett, A. G., Stratford, M., Cox, B., Hetherington, B., and Yallup,P. (1986) “Modelling a Research Portfolio Using AHP: A Group Decision Process”, R & D Management, May.
Saaty, T. L. (1980), “The Analytic Hierarchy Process”, McGraw-Hill, New York.
Saaty, T. L. and Vargas, L. G. (1984), “Inconsistency and Rank Preservation”, Journal of Math. Psych., 28, pp 205–214.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Islei, G. (1987). An Approach to Measuring Consistency of Preference Vector Derivations Using Least Square Distance. In: Jahn, J., Krabs, W. (eds) Recent Advances and Historical Development of Vector Optimization. Lecture Notes in Economics and Mathematical Systems, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46618-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-46618-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-18215-3
Online ISBN: 978-3-642-46618-2
eBook Packages: Springer Book Archive