Learning and herding using case-based decisions with local interactions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy algorithm for group decision making with participants having finite discriminating abilities
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
A Prescriptive Approach for Eliciting Imprecise Weight Statements in an MCDA Process
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Nudging the Trolley in the Supermarket: How to Deliver the Right Information to Shoppers
International Journal of Mobile Human Computer Interaction
Decision-making in the aisles: informing, overwhelming or nudging supermarket shoppers?
Personal and Ubiquitous Computing
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This paper presents psychological research that can help people make better decisions. Decision analysts typically: 1) elicit outcome probabilities; 2) assess attribute weights; and 3) suggest the option with the highest overall value. Decision analysis can be challenging because of environmental and psychological issues. Fast and frugal methods such as natural frequency formats, frugal multiattribute models, and fast and frugal decision trees can address these issues. Not only are the methods fast and frugal, but they can also produce results that are surprisingly close to or even better than those obtained by more extensive analysis. Apart from raising awareness of these findings among engineers, the authors also call for further research on the application of fast and frugal methods to decision analysis