Decisions with Multiple Objectives: Preferences and Value Tradeoffs

By F. Vernadat. 1994

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Citations in the corpus

Reinforcement learning in robotics: A survey (2013, methodology): “Inverse optimal control was initially studied in the control community (Kalman, 1964) and in the field of economics (Keeney and Raiffa, 1976).”
PARADISE: A Framework for Evaluating Spoken Dialogue Agents (1997, methodology): “PARADISE uses methods from decision theory (Keeney and Raiffa, 1976; Doyle, 1992) to combine a disparate set of performance measures (i.e., user satisfaction, task success, and dialogue cost, all of which have been previously noted in the literature) into a single performance evaluation function.”
Efficient Solution Algorithms for Factored MDPs (2003, methodology): “Techniques for exploiting reward functions that decompose additively were studied by Meuleau et al. (1998), and by Singh and Cohn (1998). The use of factored representations such as dynamic Bayesian networks was pioneered by Boutilier et al.”
Developing Theory-Driven, Evidence-Based Serious Games for Health: Framework Based on Research Community Insights (Preprint) (2018, background): “Narratives are perceived as providing essential emotional and social information not usually found within routine resources that lend meaning and perspective to a patient’s predicament [33].”
Identifying the influential bloggers in a community (2008, methodology): “A weighted additive function can be used for this purpose [13].”
Goals and plans in decision making (2007, background): “In traditional decision theory, a choice among several alternative plans, each with multiple goals, is usually cast in the framework of multi-attribute utility theory (Debreu, 1960; Krantz, Luce, Suppes & Tversky, 1971; Keeney & Raiffa, 1976).”
A critical review of multi-criteria decision making methods with special reference to forest management and planning (2009, background): “The evidence suggests that both eigenvalue and regression techniques yield similar results (Alho and Kangas, 1997). in MAUT applies to outcomes of decision options, which are uncertain (Keeney and Raiffa, 1976).”
Toward Normative Expert Systems: Part I The Pathfinder Project (1992, background): “The interested reader should consult more general discussions by Keeney and Raiffa [21], McNeil et al.”
Extending the Bounds of Rationality: Evidence and Theories of Preferential Choice (2006, background): “…utility theories (e.g., John Quiggin 1982; Chew Soo Hong, Edi Karni, and Zvi Safra 1987; Menahem E. Yaari 1987; Jerry R. Green and Bruno Jullien 1989; R. Duncan Luce 1990), and multiattribute utility theories (Ralph L. Keeney and Howard Raiffa 1976; Detlof von Winterfeldt and Ward Edwards 1986).”
Pairs trading and outranking: The multi-step-ahead forecasting case (2010, background): “Nevertheless, Electre III seems quite appropriate for pairs trading because it aggregates preference relations on pair of alternatives whereas, for example, the Multi-Attribute Utility Theory (Keeney and Raiffa, 1976) aggregates unidimensional utility functions into a single global utility function ”
The Health Utilities Index (HUI®) system for assessing health-related quality of life in clinical studies (2001, methodology): “The deterministic approach, based on MAUT (6), was used in the estimation of HUI utility functions because it has a strong theoretical foundation and it is efficient (ie, it requires preference measurements for relatively few health states).”
Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. (2011, background): “MAUT is concerned with the theory developed to help decision-makers assign utility values, taking into consideration the decision-maker’s preferences, to outcomes by evaluating these in termsofmultiple attributes and combining these individual assignments to obtain overall utility measures (Keeney a”
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions (2008, background): “While the additive value function involves compensation between criteria and requires a rather strong assumption about their independence in the sense of preference [11], it is often used for its intuitive interpretation and relatively easy computation.”
An Outline of a Theory of Three-Way Decisions (2012, background): “Details of this linear utility model and other models can be found in literature of multi-crieria and multi-objective decision making [14].”