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Titlebook: Aggregation and Fusion of Imperfect Information; Bernadette Bouchon-Meunier Book 1998 Springer-Verlag Berlin Heidelberg 1998 Unvollst?ndig

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樓主: 掩飾
31#
發(fā)表于 2025-3-27 00:43:17 | 只看該作者
32#
發(fā)表于 2025-3-27 02:07:41 | 只看該作者
Fuzzy Integral as a Flexible and Interpretable Tool of Aggregationaggregation and its situation among common aggregation operators. The concept of Shapley value and interaction index, which are well rooted in a theory of representation of fuzzy measures, can afford a semantical analysis of the aggregation operation, and facilitate the use of fuzzy integral in practical problems.
33#
發(fā)表于 2025-3-27 07:06:20 | 只看該作者
Aggregation of Imprecise Probabilitiesing it less precise. An important property of the aggregation will be that the precision of the result will depend on the initial compatibility of sources. Special attention will be paid to the particular case of probability intervals giving adaptations of aggregation procedures.
34#
發(fā)表于 2025-3-27 09:42:37 | 只看該作者
35#
發(fā)表于 2025-3-27 14:15:59 | 只看該作者
36#
發(fā)表于 2025-3-27 20:05:41 | 只看該作者
https://doi.org/10.1007/978-88-470-0636-2aggregation and its situation among common aggregation operators. The concept of Shapley value and interaction index, which are well rooted in a theory of representation of fuzzy measures, can afford a semantical analysis of the aggregation operation, and facilitate the use of fuzzy integral in prac
37#
發(fā)表于 2025-3-27 22:35:53 | 只看該作者
https://doi.org/10.1007/978-88-470-0636-2references may be seen as a fuzzy property of fuzzy preferences. Moreover, several rationality measures can be aggregated into a global rationality measure. We will see when and how this can be done. We will also comment upon the feasibility of their use in real life applications. Indeed, some of th
38#
發(fā)表于 2025-3-28 04:21:43 | 只看該作者
David W. Winkler,Jeffrey R. Waltersquence of controls best satisfying fuzzy constraints and fuzzy goals at . the control stages, we assune a softer requirement that the stage scores (degrees to which the fuzzy constraints and fuzzy goals at a particular control stage are fulfilled) be best satisfied at ., etc. control stages. Zadeh’s
39#
發(fā)表于 2025-3-28 06:24:16 | 只看該作者
James P. Gionfriddo,Louis B. Besthe framework of possibilistic logic. These rules are the counterparts of combination rules which can be applied to the possibility distributions (defined on the set of possible worlds), which represent the semantics of each propositional knowledge base. Combination modes taking into account the leve
40#
發(fā)表于 2025-3-28 13:56:09 | 只看該作者
James P. Gionfriddo,Louis B. Besting it less precise. An important property of the aggregation will be that the precision of the result will depend on the initial compatibility of sources. Special attention will be paid to the particular case of probability intervals giving adaptations of aggregation procedures.
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