A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Utility function assessment on a micro-computer: an interactive procedure
Annals of Operations Research
Decision analysis applications in the operations research literature, 1970-1989
Operations Research
Modeling and computational analysis of reactive behavior in organizations
Computational organization theory
Computers and Operations Research
Strategic Decision Making
Making Hard Decisions with Decisiontools Suite
Making Hard Decisions with Decisiontools Suite
Computers and Operations Research
A decision support system for multiattribute utility evaluation based on imprecise assignments
Decision Support Systems
A time-dependent decision support system for multi-attribute decision-making
Integrated Computer-Aided Engineering
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
A Prescriptive Approach for Eliciting Imprecise Weight Statements in an MCDA Process
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
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This paper describes a generic decision support system based on an additive multiattribute utility model that is intended to allay many of the operational difficulties involved in the multicriteria decision-making process. The system accounts for uncertainty about the alternative consequences and admits incomplete information about the decision-makers' preferences, which leads to classes of utility functions and weight intervals. The additive model is used to assess, on the one hand, average overall utilities, on which the ranking of alternatives is based and, on the other, minimum and maximum overall utilities, which give further insight into the robustness of this ranking. When the information obtained is not meaningful enough so as to definitively recommend an alternative, an iteration process can be carried out by tightening the imprecise parameters and assessing the non-dominated and potentially optimal alternatives or using Monte Carlo simulation techniques to determine useful information about dominance among the alternatives.