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Fuzzy Information Processing 2020

Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Barnabás Bede

    1. Department of Mathematics, DigiPen Institute of Technology, Redmond, USA

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  2. Martine Ceberio

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

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  3. Martine De Cock

    1. School of Engineering and Technology, University of Washington, Tacoma, USA

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  4. Vladik Kreinovich

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

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  • Covers all aspects of theory and applications in fuzzy systems, soft computing methods, and
  • Presents the proceedings of the 2021 Annual Conference of the NAFIPS held on August 20–22, 2020, held online
  • Has written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1337)

Included in the following conference series:

Conference proceedings info: NAFIPS 2020.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Powerset Operators in Categories with Fuzzy Relations Defined by Monads

    • Jiří Močkoř
    Pages 1-11

  3. Improved Fuzzy Q-Learning with Replay Memory

    • Xin Li, Kelly Cohen
    Pages 13-23

  4. Agnesi Quasi-fuzzy Numbers

    • Flaulles Bergamaschi, Natan Jesus, Regivan Santiago, Alesxandra Oliveira
    Pages 25-30

  5. Fuzzy Mathematical Morphology and Applications in Image Processing

    • Alexsandra Oliveira Andrade, Flaulles Boone Bergamaschi, Roque Mendes Prado Trindade, Regivan Hugo Nunes Santiago
    Pages 31-40

  6. Interval Fuzzy Models Based on Evolving Gaussian Clustering—eGauss+

    • Igor Škrjanc
    Pages 41-56

  7. Construction of T-Vague Groups for Real-Valued Interference Channel

    • Cibele Cristina Trinca, Ricardo Augusto Watanabe, Estevão Esmi
    Pages 57-68

  8. Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting

    • Leandro Maciel, Rosangela Ballini, Fernando Gomide
    Pages 69-81

  9. Solving Capacitated Vehicle Routing Problems with Fuzzy Delivery Costs and Fuzzy Demands

    • Juan Carlos Figueroa García, Jhoan Sebastian Tenjo-García
    Pages 83-94

  10. Sugeno Integral over Generalized Semi-quantales

    • Jan Paseka, Sergejs Solovjovs, Milan Stehlík
    Pages 95-107

  11. Numerical Solution for Reversible Chemical Reaction Models with Interactive Fuzzy Initial Conditions

    • Vinícius F. Wasques, Estevão Esmi, Laécio Carvalho de Barros, Francielle Santo Pedro
    Pages 109-120

  12. Predictive Maintenance of Aircraft Engines Using Fuzzy Bolt\(^{\copyright }\)

    • Bhavya Mayadevi, Dino Martis, Anoop Sathyan, Kelly Cohen
    Pages 121-128

  13. Optimal Number of Classes in Fuzzy Partitions

    • Fabian Castiblanco, Camilo Franco, J. Tinguaro Rodriguez, Javier Montero
    Pages 129-141

  14. Consistence of Interactive Fuzzy Initial Conditions

    • Vinícius F. Wasques, Nilmara J. B. Pinto, Estevão Esmi, Laécio Carvalho de Barros
    Pages 143-155

  15. An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT

    • Kanishka Misra, Julia Taylor Rayz
    Pages 157-169

  16. Using Fuzzy Sets to Assess Differences in Online Grooming Conversations with Victims, Decoys, and Law Enforcement

    • Tatiana Ringenberg, Julia Taylor Rayz, Kathryn Seigfried-Spellar
    Pages 171-182

  17. An Optimized Intelligent Fuzzy Fractional Order TID Controller for Uncertain Level Control Process with Actuator and System Component Uncertainty

    • Himanshukumar Patel, Vipul Shah
    Pages 183-195

  18. Fuzzy Redundancy Mechanism to Enhance the Resilience of IoT-Based HPC Systems

    • Amira Abo Hozaifa, Ahmed Shawky Moussa
    Pages 197-209

  19. Carbon Emissions Trading as a Constraint in a Fuzzy Optimization Problem

    • Nilmara de Jesus Biscaia Pinto, Estevão Esmi, Laécio Carvalho de Barros
    Pages 211-222

  20. Optimization of Neural Network Models for Estimating the Risk of Developing Hypertension Using Bio-inspired Algorithms

    • Patricia Melin, Ivette Miramontes, Oscar Carvajal, German Prado-Arechiga
    Pages 223-235
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  1. Fuzzy Information Processing 2020

Keywords

About this book

This book describes how to use expert knowledge—which is often formulated by using imprecise (fuzzy) words from a natural language. In the 1960s, Zadeh designed special "fuzzy" techniques for such use. In the 1980s, fuzzy techniques started controlling trains, elevators, video cameras, rice cookers, car transmissions, etc. Now, combining fuzzy with neural, genetic, and other intelligent methods leads to new state-of-the-art results: in aerospace industry (from drones to space flights), in mobile robotics, in finances (predicting the value of crypto-currencies), and even in law enforcement (detecting counterfeit banknotes, detecting online child predators and in creating explainable AI systems). The book describes these (and other) applications—as well as foundations and logistics of fuzzy techniques. This book can be recommended to specialists—both in fuzzy and in various application areas—who will learn latest techniques and their applications, and to students interested in innovative ideas.

Editors and Affiliations

  • Department of Mathematics, DigiPen Institute of Technology, Redmond, USA

    Barnabás Bede

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

    Martine Ceberio, Vladik Kreinovich

  • School of Engineering and Technology, University of Washington, Tacoma, USA

    Martine De Cock

Bibliographic Information

  • Book Title: Fuzzy Information Processing 2020

  • Book Subtitle: Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020

  • Editors: Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-81561-5

  • 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 2022

  • Softcover ISBN: 978-3-030-81560-8Published: 09 December 2021

  • eBook ISBN: 978-3-030-81561-5Published: 08 December 2021

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: X, 456

  • Number of Illustrations: 30 b/w illustrations, 137 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Engineering

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