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Titlebook: Advances in Computational Intelligence, Part I; 14th International C Salvatore Greco,Bernadette Bouchon-Meunier,Ronald Conference proceedi

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樓主: Monomania
21#
發(fā)表于 2025-3-25 07:16:53 | 只看該作者
On the Applicability of Multi-criteria Decision Making Techniques in Fuzzy Queryingal databases. Furthermore, we investigate the need for more advanced aggregation techniques in fuzzy query criteria evaluations and show how LSP aggregation operators can help relieving this need. As an illustration the case of combining mandatory and desired criteria has been studied.
22#
發(fā)表于 2025-3-25 09:55:13 | 只看該作者
Fuzzy Numbers as Utilities of Decision Making in Treatment of Radiation Cystitisgnosis..We prove, as a novelty of the classical fuzzy decision making model, the insertion of fuzzy numbers in the .-cut form to a utility matrix. In the current paper we wish to apply the modified fuzzy decision making to extract the most efficacious treatment in radiation cystitis.
23#
發(fā)表于 2025-3-25 11:47:17 | 只看該作者
24#
發(fā)表于 2025-3-25 16:34:43 | 只看該作者
Celso Bianco,Victor Nussenzweighe reformulated model. This will allow to balance the interpretability against the accuracy within the optimization algorithm, even making the interpretability improvement conditional on a strict preservation of the initial accuracy.
25#
發(fā)表于 2025-3-25 22:47:04 | 只看該作者
Statistical Dynamic Classification to Detect Changes in Temperature Time Seriesion rules has been defined to detect an assembly blockage. Thus, a statistical dynamic classification is realized online to obtain at most two classes. Results have been validated on several assemblies with different realistic perturbations.
26#
發(fā)表于 2025-3-26 03:32:24 | 只看該作者
27#
發(fā)表于 2025-3-26 07:58:38 | 只看該作者
28#
發(fā)表于 2025-3-26 12:11:09 | 只看該作者
29#
發(fā)表于 2025-3-26 16:01:01 | 只看該作者
30#
發(fā)表于 2025-3-26 18:07:39 | 只看該作者
An Extended Perturbation Theory for QCDreduce the number of examples not covered by any rule, using a fuzzy rule set with large supports. The experiments reported show that the PRCs lead to improve the accuracy of the classical PART algorithm.
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