Abstract
The Method of Weighted Sinn of Criteria Estimates (WSCE) is popular in multicriteria decision making. The question arises, how to measure differences in the preferences of different decision makers or the same decision maker (DM) over time when using the WSCE method. A new measure is suggested:the number of alternative pairs in complete order given by WSCE for which the superiority of one alternative upon the other depends 011 DM’s preferences.They are called as potentially contradictory pairs (PCA). It is shown that PCA created from the elements of the first Pareto-layer very reliably represent PCA in a complete order in the case of additivity.This makes it possible to only use PCA to measure differences in DM’s preferences.
This is a preview of subscription content, log in via an institution to check access.
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
Von Winterfeldt, D. and Edwards, W. (1986) Decision Analysis and Behavioral Research, Cambridge University Press, Cambridge.
Edwards, W. (1977) “How to Use Multiattribute Utility Measurement for Social Decision Makingö. IEEE Transactions on System, Man and Cybernetics, SMC-7, 326–40.
Larichev, O. and Moslikovicli, H. (1995) “Zapros LM-A Method and System for Ordering Multiattribute Alternativesö. European Journal of Operational Research 82, 503–521.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Larichev, O.I. (1997). Measurement of Differences in Preferences Expressed by a Simple Additive Rule. In: Karwan, M.H., Spronk, J., Wallenius, J. (eds) Essays In Decision Making. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60663-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-60663-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64499-3
Online ISBN: 978-3-642-60663-2
eBook Packages: Springer Book Archive