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Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications

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  • © 2023

Overview

Editors:
  1. Oscar Castillo

    1. Research Chair of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

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  2. Anupam Kumar

    1. Department of Electronics and Communication Engineering, National Institute of Technology, Patna, India

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    You can also search for this editor in PubMed   Google Scholar

  • A concise collection of state-of-art approaches for type-2 fuzzy logic systems and their applications in various fields
  • A handy reference guide intended for a variety of readers working in AI, Electrical Engineering and Automation
  • Covers an introduction, theory, development and applications of type-2 fuzzy logic systems

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 425)

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About this book

This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications. 



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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Application of Interval Type-2 Fuzzy Logic Control Approach to the Lower-Limb Exoskeleton

    • Richa Sharma, Hossein Rouhani
    Pages 1-14

  3. A Simplified Model of an Interval Type-2 Takagi-Sugeno Fuzzy PID Controller using One-Dimensional Input Space

    • Ritu Raj, Anupam Kumar, Prashant Gaidhane
    Pages 15-28

  4. Fractional Order Interval Type-2 Fuzzy Logic Controller

    • Snehanshu Shekhar, Anupam Kumar
    Pages 29-42

  5. Artificial Bee Colony Optimized Precompensated Interval Type-2 Fuzzy Logic Controller for a Magnetic Levitation System

    • Anupam Kumar, Ritu Raj, Prashant Gaidhane, Oscar Castillo
    Pages 43-56

  6. Application of Type-2 Fuzzy Logic Controllers in Renewable Energy Systems

    • Suraparaju Krishnama Raju
    Pages 57-74

  7. Tuning of Interval Type-2 Fuzzy Precompensated PID Controller: GWO-ABC Algorithm Based Constrained Optimization Approach

    • Prashant Gaidhane, Anupam Kumar, Ritu Raj
    Pages 75-96

  8. Design of Type 2 Fuzzy Controller for OWC Power Plant

    • Sunil Kumar Mishra, Mano Ranjan Kumar, Bhargav Appasani, Amitkumar Vidyakant Jha, Avadh Pati
    Pages 97-113

  9. Intuitionistic Type-II Fuzzy Logic-Based Inference System and Its Realistic Applications to the Medical Field

    • Mukesh Kumar Sharma, Nitesh Dhiman
    Pages 115-131

  10. An Enhanced Internet of Things Enabled Type-2 Fuzzy Logic for Healthcare System Applications

    • Joseph Bamidele Awotunde, Olaiya Folorunsho, Isah Olawale Mustapha, Olayinka Olufunmilayo Olusanya, Mulikat Bola Akanbi, Kazeem Moses Abiodun
    Pages 133-151

  11. Artificial Neural Network Based Type-2 Fuzzy Optimization for Medical Diagnosis

    • Nitesh Dhiman, Nivedita, Mukesh Kumar Sharma
    Pages 153-164

  12. A Survey on Type-2 Fuzzy Logic Systems in Healthcare

    • Sindhu Rajendran, B. Sahana, Shaik Farheen, B. N. Meghana, Sona Theresa Babu
    Pages 165-186

  13. Type-2 Fuzzy Set Approach to Image Analysis

    • K. Anitha, Debabrata Datta
    Pages 187-200

  14. Non-iterative Wagner-Hagras General Type-2 Mamdani Singleton Fuzzy Logic System Optimized by Central Composite Design in Quality Assurance by Image Processing

    • Pascual Noradino Montes Dorantes, Gerardo Maximiliano Mendez
    Pages 201-216

  15. Type-2 Neutrosophic Fuzzy Bimatrix Games Based on a New Distance Measure

    • Shuvasree Karmakar, Mijanur Rahaman Seikh
    Pages 217-233

  16. Discouraged Arrivals Queueing System in Interval Valued Type-2 Fuzzy Environment

    • R. Ramesh, M. Seenivasan
    Pages 235-247

  17. Extension of Fuzzy Principal Component Analysis to Type-2 Fuzzy Principal Component Analysis

    • Daoudi Bouchra, Hamzaoui Hassania, Mounir Gouiouez
    Pages 249-265

  18. Correction to: Extension of Fuzzy Principal Component Analysis to Type-2 Fuzzy Principal Component Analysis

    • Daoudi Bouchra, Hamzaoui Hassania, Mounir Gouiouez
    Pages C1-C1
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Editors and Affiliations

  • Research Chair of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  • Department of Electronics and Communication Engineering, National Institute of Technology, Patna, India

    Anupam Kumar

Bibliographic Information

  • Book Title: Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications

  • Editors: Oscar Castillo, Anupam Kumar

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-031-26332-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-26331-6Published: 01 April 2023

  • Softcover ISBN: 978-3-031-26334-7Published: 02 April 2024

  • eBook ISBN: 978-3-031-26332-3Published: 31 March 2023

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XII, 265

  • Number of Illustrations: 26 b/w illustrations, 114 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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