Studies in Computational Intelligence

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Editors: Castillo, Oscar, Melin, Patricia, Kacprzyk, Janusz (Eds.)

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  • Describes recent advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid combinations
  • Presents applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems
  • Written by experts in the field
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eBook $189.00
price for USA in USD
  • ISBN 978-3-030-35445-9
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  • Included format: EPUB, PDF
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Hardcover $249.99
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About this book

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Table of contents (53 chapters)

Table of contents (53 chapters)
  • Parameter Adaptation in the Imperialist Competitive Algorithm Using Generalized Type-2 Fuzzy Logic

    Pages 3-10

    Bernal, Emer (et al.)

  • Applying Fuzzy Logic to Identify Heterogeneity of the Allometric Response in Arithmetical Space

    Pages 11-34

    Leal-Ramírez, Cecilia (et al.)

  • Fireworks Algorithm (FWA) with Adaptation of Parameters Using Interval Type-2 Fuzzy Logic System

    Pages 35-47

    Barraza, Juan (et al.)

  • Omnidirectional Four Wheel Mobile Robot Control with a Type-2 Fuzzy Logic Behavior-Based Strategy

    Pages 49-62

    Cuevas, Felizardo (et al.)

  • Optimization for Type-1 and Interval Type-2 Fuzzy Systems for the Classification of Blood Pressure Load Using Genetic Algorithms

    Pages 63-71

    Guzmán, Juan Carlos (et al.)

Buy this book

eBook $189.00
price for USA in USD
  • ISBN 978-3-030-35445-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
Editors
  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk
Series Title
Studies in Computational Intelligence
Series Volume
862
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-35445-9
DOI
10.1007/978-3-030-35445-9
Hardcover ISBN
978-3-030-35444-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 792
Number of Illustrations
123 b/w illustrations, 240 illustrations in colour
Topics