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Applications of Fuzzy Techniques

Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Scott Dick

    1. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

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  2. Vladik Kreinovich

    1. Department of Computer Science, University of Texas at El Paso, El Paso, USA

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  3. Pawan Lingras

    1. Department of Mathematics and Computer Science, Saint Mary’s University, Halifax, Canada

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  • Covers all aspects of theory and applications in fuzzy systems, soft computing methods, and fuzzy information processing
  • Presents the proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 500)

Included in the following conference series:

Conference proceedings info: NAFIPS 2022.

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About this book

This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years.

 

NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. How to Elicit Complex-Valued Fuzzy Degrees

    • Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
    Pages 1-11

  3. Flutter Mitigation via Fuzzy Gain Scheduling of a Passivity-Based Controller

    • Jared Burton, Kelly Cohen
    Pages 12-19

  4. A New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approach (SERA)

    • Esra Çakır, Mehmet Ali Taş, Emre Demircioğlu
    Pages 20-30

  5. Genetic Fuzzy System for Pitch Control on a F-4 Phantom

    • Baptiste Courcier, Samuel Richard-Desjardins, Christophe Farges, Franck Cazaurang, Lynn Pickering, Javier Viaña Perez et al.
    Pages 31-39

  6. Analyzing the Sars-Cov-2 Pandemic Outbreak Using Fuzzy Sets and the SIR Model

    • Moiseis S. Cecconello, Michael M. Diniz, Rodney C. Bassanezi
    Pages 40-51

  7. Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking

    • Kyle Dunlap, Kelly Cohen
    Pages 52-62

  8. An Experimental Study on Fuzzy Markov Chains Under \(M_n\) Generalized Mean Relation

    • Juan-Carlos Figueroa-García, Roman Neruda, Yurilev Chalco-Cano
    Pages 63-72

  9. An Approach to Simulation of Fuzzy Linguistic Variables

    • Juan–Carlos Figueroa-García, Jhoan–Sebastian Tenjo–García, Jennifer–Soraya Ramos–Cuesta
    Pages 73-82

  10. Why Sine Membership Functions

    • Sofia Holguin, Javier Viaña, Kelly Cohen, Anca Ralescu, Vladik Kreinovich
    Pages 83-89

  11. Agricultural Yield Prediction by Difference Equations on Data-Induced Cumulative Possibility Distributions

    • Vassilis G. Kaburlasos, Christos Bazinas, Eleni Vrochidou, Eleftherios Karapatzak
    Pages 90-100

  12. Commonsense-Continuous Dynamical Systems – Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis

    • Olga Kosheleva, Vladik Kreinovich
    Pages 101-107

  13. Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation

    • Chon Van Le, Olga Kosheleva, Vladik Kreinovich
    Pages 108-112

  14. A Note on Caputo Fractional Derivative in the Space of Linearly Correlated Fuzzy Numbers

    • Michele Martins Lopes, Francielle Santo Pedro, Beatriz Laiate, Estevão Esmi, Laécio Carvalho Barros
    Pages 113-124

  15. Data Driven Level Set Method in Fuzzy Modeling and Forecasting

    • Leandro Maciel, Rosangela Ballini, Fernando Gomide
    Pages 125-134

  16. Semi-supervised Physics-Informed Genetic Fuzzy System for IoT BLE Localization

    • Dmitry Manasreh, Safaa Swaleh, Kelly Cohen, Munir Nazzal
    Pages 135-147

  17. The Constraint Interval Theory: A Solution for Interval Differential Equations

    • Marina T. Mizukoshi, Weldon A. Lodwick
    Pages 148-159

  18. Classification of Rice Using Genetic Fuzzy Cascading System

    • Dipin Nair, Kelly Cohen, Manish Kumar
    Pages 160-171

  19. On a New Contrapositivisation Technique for Fuzzy Implications Constructed from Grouping Functions

    • Fernando Neres, Regivan Santiago, Benjamín Bedregal
    Pages 172-184

  20. Genetically Trained Fuzzy Cognitive Maps for Effects Based Operations

    • Zachariah Phillips, Kelly Cohen
    Pages 185-195
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Other volumes

  1. Applications of Fuzzy Techniques

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Scott Dick

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

  • Department of Mathematics and Computer Science, Saint Mary’s University, Halifax, Canada

    Pawan Lingras

Bibliographic Information

  • Book Title: Applications of Fuzzy Techniques

  • Book Subtitle: Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS 2022

  • Editors: Scott Dick, Vladik Kreinovich, Pawan Lingras

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-16038-7

  • 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

  • Softcover ISBN: 978-3-031-16037-0Published: 30 September 2022

  • eBook ISBN: 978-3-031-16038-7Published: 29 September 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: IX, 366

  • Number of Illustrations: 44 b/w illustrations, 111 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Engineering

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