Nature-Inspired Design of Hybrid Intelligent Systems

  • Patricia Melin
  • Oscar Castillo
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 667)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Type-2 and Intuitionistic Fuzzy Logic

    1. Front Matter
      Pages 1-1
    2. Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Olivia Mendoza, Oscar Castillo
      Pages 3-18
    3. Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
      Pages 19-38
    4. Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Juan R. Castro
      Pages 39-61
    5. Gabriela E. Martínez, D. Olivia Mendoza, Juan R. Castro, Patricia Melin, Oscar Castillo
      Pages 79-97
    6. Quetzali Madera, Oscar Castillo, Mario Garcia, Alejandra Mancilla
      Pages 99-113
    7. Beatriz González, Fevrier Valdez, Patricia Melin
      Pages 127-138
  3. Neural Networks Theory and Applications

    1. Front Matter
      Pages 139-139
    2. Magdiel Jiménez-Guarneros, Pilar Gómez-Gil, Rigoberto Fonseca-Delgado, Manuel Ramírez-Cortés, Vicente Alarcón-Aquino
      Pages 159-173
    3. Mario I. Chacon-Murguia, Luis E. Guerra-Fernandez, Hector Erives
      Pages 175-185
    4. Martha Pulido, Patricia Melin, German Prado-Arechiga
      Pages 195-205
    5. Juan Carlos Sanchez-Diaz, Manuel Ramirez-Cortes, Pilar Gomez-Gil, Jose Rangel-Magdaleno, Israel Cruz-Vega, Hayde Peregrina-Barreto
      Pages 207-224
    6. Daniela Sánchez, Patricia Melin, Juan Carpio, Hector Puga
      Pages 225-241
    7. Eduardo Méndez, Omar Lugo, Patricia Melin
      Pages 243-254
  4. Fuzzy Metaheuristics

    1. Front Matter
      Pages 255-255

About this book


This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.


Computational Intelligence Nature-Inspired Optimization Meta-Heuristics Pattern Recognition Time Series Prediction

Editors and affiliations

  • Patricia Melin
    • 1
  • Oscar Castillo
    • 2
  • Janusz Kacprzyk
    • 3
  1. 1.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuana, BCMexico
  2. 2.Division of Graduate Studies and ResearchTijuana Institute of TechnologyTijuana, BCMexico
  3. 3.Polish Academy of SciencesSystems Research InstituteWarsawPoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-47053-5
  • Online ISBN 978-3-319-47054-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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