Decisions with Multiple Objectives: Preferences and Value Trade-Offs

By Ralph L. Keeney, H. Raiffa, D. Rajala. 1977

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Citations in the corpus

Reinforcement learning in robotics: A survey (2013, background): “Inverse optimal control was initially studied in the control community (Kalman, 1964) and in the field of economics (Keeney and Raiffa, 1976).”
Efficient Solution Algorithms for Factored MDPs (2003, background): “Value functions of this type have a long history in the area of multi-attribute utility theory ( Keeney & Raifia, 1976 ).”
Research challenges of autonomic computing (2005, background): “It may be possible to adapt preference elicitation techniques that have been developed for electronic commerce [ 34 , 28].”
Application of a quantitative multiple criteria decision making (MCDM-1) approach to the analysis of investments in construction (2007, methodology): “This group consists of widely known methods from multicriteria utility theory ( Keeney, Raiffa, 1976; Zavadskas et al., 1995) and some new methods (Hwang, Yoon 1981; Triantaphyllou 2000; Zavadskas et al., 2004; Brauers, 2004; Ustinovichius 2004).”
A POMDP formulation of preference elicitation problems (2002, methodology): “(3)If u is represented using some more concise model, such as a linear utility model[11] or a graphical model [4],u is simply the vector of parameters required for that model.”
The Costs and Benefits of Calculation and Moral Rules (2010, unknown): “Given that systematic CBA has provided the normative backbone for decision science (e.g., Keeney & Raiffa, 1993), research that does not address normativity may implicitly endorse CBA.”