Abstract
Many complex engineering problems require multicriterion decision making (MCDM) under uncertainty. The purpose of this paper is to investigate how such decision making may take place. Although a few specialized techniques are available for solving such problems, no general approach is available for examining the effect of uncertainty on both individual criteria or objectives and the overall solution of the MCDM problem. Uncertainty can be reduced by obtaining additional information. However, no multicriterion approach nor technique is available for considering the value of additional information in reducing the effect of uncertainty in MCDM analysis.
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© 1987 Springer-Verlag Berlin HeidelBerg
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Duckstein, L., Davis, D., Weber, J. (1987). Bicriterion Decision-Making under Randomness and Worth of Perfect Information. In: Sawaragi, Y., Inoue, K., Nakayama, H. (eds) Toward Interactive and Intelligent Decision Support Systems. Lecture Notes in Economics and Mathematical Systems, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46609-0_34
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DOI: https://doi.org/10.1007/978-3-642-46609-0_34
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