Titlebook: Intelligent Decision Making: An AI-Based Approach; Gloria Phillips-Wren,Nikhil Ichalkaranje,Lakhmi C. Book 2008 Springer-Verlag Berlin Hei

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1860-949X des supplementary material: .Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to ad

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A Replanning Support for Critical Decision Making Situations: A Modelling Approachrs in a critical context. The proposed tool should be able to generate a degraded solution for which collateral effects of previous tasks have been taken as new goals to reach. This study is possible thanks to the definition of several kinds of models: a Good Functioning Model and a Degraded Tasks Library.

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Communal

Cognitive Elements of Human Decision Makinghavior. The contributions of this chapter are confined to the identification of important elements of the problemsolving activity and exploration of how these elements might influence the design of a decision-support system.

鬧劇

Decision Analysis with Fuzzy Targets different risk attitudes in terms of utility functions. In addition, we also introduce how the fuzzy target-based approach can provide a unified way for solving the problem of fuzzy decision making with uncertainty about the state of nature and imprecision about payoffs.

競選運動

A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Supporter constitute the behavior of a complex multi-phased decisionmaking process. It has been argued that situation awareness is a critical component of experience-based decision-making style. Perception, understanding, and anticipation mechanisms are discussed as three major subsystems in realizing the situation awareness model.