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Titlebook: New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic; Patricia Melin,Emanuel Ontiveros-Robles,Oscar Cast Book 2021 The Edi

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發(fā)表于 2025-3-21 19:46:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic
編輯Patricia Melin,Emanuel Ontiveros-Robles,Oscar Cast
視頻videohttp://file.papertrans.cn/666/665471/665471.mp4
概述Proposes a methodology for the automatic design of classifiers focused in the Generalized Type-2 Fuzzy Logic.Presents the generation of Fuzzy Diagnosis Systems that offer competitive classifiers to be
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic;  Patricia Melin,Emanuel Ontiveros-Robles,Oscar Cast Book 2021 The Edi
描述This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and literature references based on fuzzy logic. Nowadays, the evolution of intelligence systems for decision making has been reached considerable levels of success, as these systems are getting more intelligent and can be of great help to experts in decision making. One of the more important realms in decision making is the area of medical diagnosis, and many kinds of intelligence systems provide the expert good assistance to perform diagnosis; some of these methods are, for example, artificial neural networks (can be very powerful to find tendencies), support vector machines, that avoid overfitting problems, and statistical approaches (e.g., Bayesian). However, the present research is focused on one of the most relevant kinds of intelligent systems, which are the fuzzy systems. The main objective of the present work is the generation of fuzzy diagnosis systems that offer competitive classifiers to be applied in diagnosis systems. To generate these systems, we have proposed a methodology for the automatic design of classifiers and is focused in
出版日期Book 2021
關(guān)鍵詞Computational Intelligence; Generalized Type-2 Fuzzy Logic; Fuzzy Diagnosis Systems; Medical Diagnosis;
版次1
doihttps://doi.org/10.1007/978-3-030-75097-8
isbn_softcover978-3-030-75096-1
isbn_ebook978-3-030-75097-8Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:00:46 | 只看該作者
https://doi.org/10.1007/978-3-030-75097-8Computational Intelligence; Generalized Type-2 Fuzzy Logic; Fuzzy Diagnosis Systems; Medical Diagnosis;
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Introduction,Nowadays, one of the most important applications of intelligent systems are expert systems for decision making, these kinds of systems can provide experts with a tool for expert systems.
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Discussion of Results,As can be observed in the experimental results, some specific T2 FDS proposed with our methodology
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Conclusions,In the present work, it was proposed a methodology for the automatic design of Fuzzy.
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