Abstract
The attempts of this paper are as follows: clarifying the fundamental differences between the one-shot decision theory which was initially proposed in the paper [16] and other decision theories under uncertainty to highlight that the one-shot decision theory is a scenario-based decision theory instead of a lottery-based one; pointing out the instinct problems in other decision theories to show that the one-shot decision theory is necessary to solve one-shot decision problems; manifesting the relation between the one-shot decision theory and the probabilistic decision methods. As regret is a common psychological experience in one-shot decision making, we propose the one-shot decision methods with regret in this paper.
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Guo, P. (2014). One-Shot Decision Theory: A Fundamental Alternative for Decision Under Uncertainty. In: Guo, P., Pedrycz, W. (eds) Human-Centric Decision-Making Models for Social Sciences. Studies in Computational Intelligence, vol 502. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39307-5_2
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