Abstract
This paper examines a sequential multiple-criteria decision problem. The problem arises when a decision-maker is unable to consider all possible decision alternatives simultaneously. The decision-maker evaluates only a subset of all decision alternatives, from which he chooses the most preferred solution. Obviously, this solution is not necessarily ‘globally’ best. An interesting question is: how good is the most preferred solution and what are the chances of finding a better solution by considering additional alternatives? A unified approach to solving this problem based on probability theory is presented and illustrated with numerical examples.
Similar content being viewed by others
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Korhonen, P., Wallenius, J. Some Theory and an Approach to Solving Sequential Multiple-Criteria Decision Problems. J Oper Res Soc 37, 501–508 (1986). https://doi.org/10.1057/jors.1986.85
Published:
Issue Date:
DOI: https://doi.org/10.1057/jors.1986.85