Abstract
A probabilistic approach to multicriteria decision problems can take in due account the uncertainty that is inevitably present in preference evaluations. Translating the preference measurements according to different criteria into probabilities of being chosen as the best alternative has two advantages. First, it makes comparable preference evaluations that come in entirely different scales. Besides, it opens probabilistic ways to automatically combine the evaluations according to the multiple criteria.
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© 2015 Springer International Publishing Switzerland
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Parracho Sant’Anna, A. (2015). Multiple Criteria Decision Analysis. In: Probabilistic Composition of Preferences, Theory and Applications. Decision Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-11277-0_1
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DOI: https://doi.org/10.1007/978-3-319-11277-0_1
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11276-3
Online ISBN: 978-3-319-11277-0
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