Titlebook: Quantified Representation of Uncertainty and Imprecision; Philippe Smets Book 1998 Springer Science+Business Media Dordrecht 1998 fuzzy.fu

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Psychological Challenges for Normative Models,chologically uninformed, content-free norms. Before I turn to these challenges, I begin with a historical example that illustrates how norms have been revised and made more realistic by the introduction of psychological concepts.

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Book 1998certainty. This Handbook series grew out of the ESPRIT Basic Research Project DRUMS II, where the acronym is made out of the Handbook series title. This project was financially supported by the European Union and regroups 20 major European research teams working in the general domain of uncertainty.

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ions of uncertainty. This Handbook series grew out of the ESPRIT Basic Research Project DRUMS II, where the acronym is made out of the Handbook series title. This project was financially supported by the European Union and regroups 20 major European research teams working in the general domain of uncertainty.978-90-481-5038-0978-94-017-1735-9

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Families of Probabilities,f indifference) have rational numerical values, and can serve to bound those that are not precisely comparable to rational valued probabilities. The structure looks something like this, where ./. represents the (not necessarily numerical) probability of the proposition . relative to the (total) evidence .:

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Probability, Possibility, Belief: Which and Where?, present some models for the quantified representation of uncertainty, focusing on their applicability more than on their mathematical structure. Imprecision often underlies uncertainty, hence we will also study imprecision.

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Multi-Valued Logics,lues?” This question is both natural and vague; attempts to give an answer originated a lot of logical systems. Because of the original vagueness, it is not surprising that the answers range over a wide spectrum of possibilities, and that the borders of the discipline are not clear. Up to now, no ma

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The Bayesian Approach,e reasonably reliable notion of which possible outcomes of their decisions are more or less likely. This seems to be the province of a theory of probability, and the groundwork of one was duly developed in that century we now recognise to inaugurate the era of modern science, the seventeenth century