Abstract
There are infinitely many eigen weight vectors which can be constructed for any given data of estimated weight ratios. Assuming that the reliability of these individual ratios can be different, we study the properties of the different eigen weight vectors, including that of Saaty and that recently proposed by Cogger and Yu. A general framework for the construction of eigen weight vectors based on the reliability of the data will be proposed and discussed.
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References
K. O. Cogger and P. L. Yu, “Eigen Weight Vectors and Least Distance Approximation for Revealed Preference in Pairwise Weight Ratios,” Working Paper, University of Kansas, School of Business, 1983. To Appear in Journal of Optimization Theory and Applications.
P. C. Morris, “Weighting Inconsistent Judgments,” Pi Mu Epsilon Journal, 1979.
T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
T. L. Saaty and L. G. Vargas, The Logic of Priorities, Kluwer-Nijhoff, Boston, 1982.
E. Takeda, P. L. Yu and K. O. Cogger, “Estimating Criterion Weights Using Eigenvectors: A Comparative Study,” Working Paper, University of Kansas, School of Business, 1984.
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© 1985 Springer-Verlag Berlin Heidelberg
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Takeda, E., Yu, P.L., Cogger, K.O. (1985). A Comparative Study on Eigen Weight Vectors. In: Haimes, Y.Y., Chankong, V. (eds) Decision Making with Multiple Objectives. Lecture Notes in Economics and Mathematical Systems, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46536-9_28
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DOI: https://doi.org/10.1007/978-3-642-46536-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-15223-1
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