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Titlebook: Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making; Janusz Kacprzyk,Mario Fedrizzi Book 1988 Springer-Verlag Be

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Insulin and its use in diabetes,the idea of uncertain association between variables. We see that if the knowledge of our uncertainty of the association is expressible in terms of a property, we require the framework of the Dempster—Shafer theory where the association is expressible as a compatibility relation. On the other hand, i
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,VERKAUFSPSYCHOLOGIE FÜR INSIDER,dge of observers. A probabilistic set on a total space is defined by a pointwise measurable function from a parameter space to a characteristic space. It is shown that the family of probabilistic sets constitutes a complete pseudo-Boolean algebra. Moment analysis is possible by using a probability m
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SoC Physical Design Flow and Algorithms, dealing with a stochastic multicriteria linear program where imprecision of some data is modelled by probability distributions are surveyed..The methodologies are compared and evaluated. Some ideas of future research are emphasized.
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Gerrit Heinemann,Christian W. Gaiserlems, fuzzy dynamic programming for the case of a deterministic and fuzzy system under control is provided. Then, the case of a stochastic system under control is discussed in detail. Two formulations are shown: first, the classic one due to Bellman and Zadeh (1970) in which an optimal sequence of c
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978-3-540-50005-6Springer-Verlag Berlin Heidelberg 1988
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Lecture Notes in Economics and Mathematical Systemshttp://image.papertrans.cn/c/image/230090.jpg
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Klaus Dürrschnabel,Rolf Dürr,Marc Zimmermannonal subjective probabilities for states; the other addresses the phenomenon of uncertainty aversion and attitudes toward ambiguity discussed by Ellsberg. Special cases of the new model are closely related to models proposed recently by Loomes and Sugden and by Schmeidler.
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,VERKAUFSPSYCHOLOGIE FÜR INSIDER,easure of the parameter space. An extended fuzzy expression of probabilistic sets is also introduced based on the moment analysis. It is represented by a countably infinite set of functions called monitors. It is shown that the main information is concentrated on lower monitors such as a membership function and a vagueness function.
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