Abstract
In this paper a sequential multiple criteria decision problem is studied. The problem arises, when a decision maker is unable to consider all possible decision alternatives simultaneously. If the decision maker evaluates only a subset of all decisions from among which he chooses the most preferred alternative, it is not necessarily 'globally' best. In this context an interesting question is, how good the most preferred alternative is and what the chances are of finding a better solution by considering additional alternatives. The principles of a an approach based on probability theory to solving this problem are described and illustrated with numerical examples.
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© 1983 Springer-Verlag Berlin Heidelberg
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Korhonen, P., Wallenius, J. (1983). Principles for Solving Sequential Multiple Criteria Decision Problems. In: Hansen, P. (eds) Essays and Surveys on Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46473-7_18
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DOI: https://doi.org/10.1007/978-3-642-46473-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-11991-3
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