Abstract
SMART (Simple Multi-Attribute Rating Technique, [Edwards, 1971, 1977]) provides a simple way to implement the principles of multiattribute utility theory (MAUT). Edwards [1977] argued that decisions depend on values and probabilities, both subjective quantities. Error can arise in modeling, and can also arise from elicitation. Modeling error is due to applying a model with simplifying assumptions. Elicitation error arises when measures obtained do not accurately reflect subject preference. The more complicated the questions, the more elicitation error there will be. SMART requires no judgments of preference or indifference among hypothetical alternatives, as is required with Logical Decision and most MAUT methods. Edwards argued [1977, p. 327] that hypothetical judgments were unreliable and unrepresentative of real preferences, and bore untutored decision makers into rejection of the elicitation process or acceptance of any response that would most quickly terminate questioning.
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References
Barron, F.H. and Barrett, B.E. 1995. Working paper. Decision quality using ranked and partially ranked attribute weights.
Brooks, D.G. and Kirkwood, C.W. 1988. Decision analysis to select a microcomputer networking strategy: A procedure and a case study. Journal of the Operational Research Society 39, 23–32.
Edwards, W. 1971. Social utilities. The Engineering Economist Summer Symposium Series 6, 119–129.
Edwards, W. 1977. How to use multiattribute utility measurement for social decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics SMC-7:5, 326–340.
Edwards, W. and Barron, F. H. 1994. SMARTS and SMARTER: Improved simple methods for multiattribute utility measurement. Organizational Behavior and Human Decision Processes 60, 306–325.
Jones, M., Hope, C. and Hughes, R. 1990. A multi-attribute value model for the study of UK energy policy. Journal of the Operational Research Society 41:10, 919–929.
Keeney, R.L. and Raiffa, H. 1976. Decisions with multiple objectives: Preferences and value tradeoffs. New York: Wiley.
Kmietowicz, A.W. and Pearman, A.D. 1984. Decision theory, linear partial information and statistical dominance. Omega 12, 391–399.
Olson, D.L. and Dorai, V.K. 1992. Implementation of the centroid method of Solymosi and Dombi. European Journal of Operational Research 60:1, 117–129.
Quaddus, M.A., Atkinson, D.J. and Levy, M. 1992. An application of decision conferencing to strategic planning for a voluntary organization. Interfaces 22:6, 61–71.
Raiffa, H. 1968. Decision analysis: Introductory lectures on choices under uncertainty. Reading, MA: Addison-Wesley.
von Winterfeldt, D. and Edwards, W. 1986. Decision analysis and behavioral research. New York: Cambridge University Press.
Watson, S.R. and Buede, D.M. 1987. Decision synthesis: The principles and practice of decision analysis. New York: Cambridge University Press.
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© 1996 Springer-Verlag New York, Inc.
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Olson, D.L. (1996). Smart. In: Decision Aids for Selection Problems. Springer Series in Operations Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3982-6_4
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DOI: https://doi.org/10.1007/978-1-4612-3982-6_4
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