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An Approach to Measuring Consistency of Preference Vector Derivations Using Least Square Distance

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Recent Advances and Historical Development of Vector Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 294))

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.

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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.

    Google Scholar 

  • Coombs, C. H. (1964), “A Theory of Data”, John Wiley, New York.

    Google Scholar 

  • 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.

    Google Scholar 

  • Kahneman, D. and Tversky, A. (1982), “Judgement under Uncertainty: Heuristics and Biases”, Cambridge University Press, Cambridge.

    Google Scholar 

  • Keeney, R. L. and Raiffa, H. (1976), “Decisions with Multiple Objectives: Preferences and Value Tradeoffs”, John Wiley, New York.

    Google Scholar 

  • 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.

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  • 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.

    Google Scholar 

  • Saaty, T. L. (1980), “The Analytic Hierarchy Process”, McGraw-Hill, New York.

    Google Scholar 

  • Saaty, T. L. and Vargas, L. G. (1984), “Inconsistency and Rank Preservation”, Journal of Math. Psych., 28, pp 205–214.

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© 1987 Springer-Verlag Berlin Heidelberg

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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

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  • 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

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