书目名称 | New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic |
编辑 | Patricia Melin,Emanuel Ontiveros-Robles,Oscar Cast |
视频video | |
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 |
丛书名称 | SpringerBriefs in Applied Sciences and Technology |
图书封面 |  |
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 |
关键词 | Computational Intelligence; Generalized Type-2 Fuzzy Logic; Fuzzy Diagnosis Systems; Medical Diagnosis; |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-75097-8 |
isbn_softcover | 978-3-030-75096-1 |
isbn_ebook | 978-3-030-75097-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
issn_series | 2191-530X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |