Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.
Maintainer: John Lepird <[email protected]>
Lepird, J.R., Owen, M.P. & Kochenderfer, M.J. (2015) Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization Journal of Aerospace Information Systems 12:10, 634-645
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