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Titlebook: Combining Experimentation and Theory; A Hommage to Abe Mam Enric Trillas,Piero P. Bonissone,Janusz Kacprzyk Book 2012 Springer-Verlag GmbH

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樓主: Cession
31#
發(fā)表于 2025-3-26 21:02:20 | 只看該作者
32#
發(fā)表于 2025-3-27 02:40:36 | 只看該作者
,From Leibniz’s Shinning Theorem to the Synthesis of Rules through Mamdani-Larsen Conditionals,This paper deals with the problem of synthesizing by conjunction a finite set of rules . into a single one ., and depending on the conditional’s representation. It is proven that, among the usual five types of fuzzy conditionals, the problem is only solved by the Mamdani-Larsen’s type min-conditionals.
33#
發(fā)表于 2025-3-27 08:05:23 | 只看該作者
So verkaufen Sie Investitionsgütere SC components allowed researchers to automate the fine-tuning of fuzzy systems. In a 2004 position paper, Prof. Mamdani and I made some initial remarks regarding the use and misuse of SC as a tool. In the last six years we have seen an evolution of SC, with a clearer role for their use in capturin
34#
發(fā)表于 2025-3-27 10:27:00 | 只看該作者
35#
發(fā)表于 2025-3-27 16:34:53 | 只看該作者
,Anschlu?verkauf und Bestandespflege,rules is realized through an optimal distribution of information granularity among fuzzy sets forming the conditions of the reduced rules. In particular, it is shown that the distribution of information granularity, being regarded as an important design asset, is realized through a minimization of a
36#
發(fā)表于 2025-3-27 20:03:30 | 只看該作者
https://doi.org/10.1007/978-3-662-57951-0onal parts of the model, illustrates the usefulness of the approach. More specifically, the problem concerns sensor-based robot navigation and localization. In addition to precise singular output values, granular output values provide effective robust obstacle avoidance navigation.
37#
發(fā)表于 2025-3-27 22:08:13 | 只看該作者
38#
發(fā)表于 2025-3-28 02:11:13 | 只看該作者
39#
發(fā)表于 2025-3-28 09:56:41 | 只看該作者
40#
發(fā)表于 2025-3-28 10:39:26 | 只看該作者
Evolving Linguistic Fuzzy Models from Data Streams,onal parts of the model, illustrates the usefulness of the approach. More specifically, the problem concerns sensor-based robot navigation and localization. In addition to precise singular output values, granular output values provide effective robust obstacle avoidance navigation.
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