New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

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Beschreibung

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 the Generalized Type-2 Fuzzy Logic, because the uncertainty handling can provide us with the robustness necessary to be competitive with other kinds of methods. In addition, different alternatives to the uncertainty modeling, rules-selection, and optimization have been explored. Besides, different experimental results are presented as evidence of the good results obtained when compared with respect to conventional approaches and literature references based on Fuzzy Logic.

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 applied in diagnosis systems

Gives various experimental results as evidence of the good results obtained when compared with respect to conventional approaches and literature references based on Fuzzy Logic



Inhalt
Introduction.- Background and theory.- Proposed Methodology.- Experimental Results.- Results discussion.- Conclusions

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Produktinformationen

Titel
New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic
Autor
EAN
9783030750961
Format
Kartonierter Einband
Hersteller
Springer International Publishing
Herausgeber
Springer, Berlin
Genre
Technik
Anzahl Seiten
78
Gewicht
152g
Größe
H235mm x B235mm x T155mm
Auflage
1st ed. 2021
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