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Fuzzy Information Processing

37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Guilherme A. Barreto

    1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  2. Ricardo Coelho

    1. Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Brazil

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 831)

Included in the following conference series:

Conference proceedings info: NAFIPS 2018.

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Table of contents (52 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Formal Verification of a Fuzzy Rule-Based Classifier Using the Prototype Verification System

    • Solomon Gebreyohannes, Ali Karimoddini, Abdollah Homaifar, Albert Esterline
    Pages 1-12

  3. Regularized Fuzzy Neural Network Based on Or Neuron for Time Series Forecasting

    • Paulo Vitor de Campos Souza, Luiz Carlos Bambirra Torres
    Pages 13-23

  4. Design and Implementation of Fuzzy Expert System Based on Evolutionary Algorithms for Diagnosing the Intensity Rate of Hepatitis C

    • Mehrnaz Behrooz, Mohammad Hossein Fazel Zarandi
    Pages 24-36

  5. Evolving Granular Fuzzy Min-Max Modeling

    • Alisson Porto, Fernando Gomide
    Pages 37-48

  6. Combination of Spatial Clustering Methods Using Weighted Average Voting for Spatial Epidemiology

    • Laisa Ribeiro de Sá, José Carlos da Silva Melo, Jordana de Almeida Nogueira, Ronei Marcos de Moraes
    Pages 49-60

  7. Fuzzy Logic Applied to eHealth Supported by a Multi-Agent System

    • Afonso B. L. Neto, João P. B. Andrade, Tibério C. J. Loureiro, Gustavo A. L. de Campos, Marcial P. Fernandez
    Pages 61-71

  8. Some Examples of Relations Between F-Transforms and Powerset Theories

    • Jiří Močkoř
    Pages 72-83

  9. Numerical Solutions for Bidimensional Initial Value Problem with Interactive Fuzzy Numbers

    • Vinícius F. Wasques, Estevão Esmi, Laécio C. Barros, Peter Sussner
    Pages 84-95

  10. Relevance of Classes in a Fuzzy Partition. A Study from a Group of Aggregation Operators

    • Fabián Castiblanco, Camilo Franco, Javier Montero, J. Tinguaro Rodríguez
    Pages 96-107

  11. Interactive Fuzzy Process: An Epidemiological Model

    • Francielle Santo Pedro, Laécio Carvalho de Barros, Estevão Esmi
    Pages 108-118

  12. IoT Resources Ranking: Decision Making Under Uncertainty Combining Machine Learning and Fuzzy Logic

    • Renato Dilli, Amanda Argou, Renata Reiser, Adenauer Yamin
    Pages 119-131

  13. Least Squares Method with Interactive Fuzzy Coefficient: Application on Longitudinal Data

    • Nilmara J. B. Pinto, Vinícius F. Wasques, Estevão Esmi, Laécio C. Barros
    Pages 132-143

  14. Using the Choquet Integral in the Pooling Layer in Deep Learning Networks

    • Camila Alves Dias, Jéssica C. S. Bueno, Eduardo N. Borges, Silvia S. C. Botelho, Graçaliz Pereira Dimuro, Giancarlo Lucca et al.
    Pages 144-154

  15. Consensus Image Feature Extraction with Ordered Directionally Monotone Functions

    • Cedric Marco-Detchart, Graçaliz Pereira Dimuro, Mikel Sesma-Sara, Aitor Castillo-Lopez, Javier Fernandez, Humberto Bustince
    Pages 155-166

  16. Characterization of Lattice-Valued Restricted Equivalence Functions

    • Eduardo Palmeira, Benjamín Bedregal, Rogério R. Vargas
    Pages 167-178

  17. Aggregation with T-Norms and LexiT-Orderings and Their Connections with the Leximin Principle

    • Henrique Viana, João Alcântara
    Pages 179-191

  18. Fuzzy Formal Concept Analysis

    • Abner Brito, Laécio Barros, Estevão Laureano, Fábio Bertato, Marcelo Coniglio
    Pages 192-205

  19. Representing Intuistionistic Fuzzy Bi-implications Using Quantum Computing

    • Lucas Agostini, Samuel Feitosa, Anderson Avila, Renata Reiser, André DuBois, Maurício Pilla
    Pages 206-216

  20. Interval Version of Generalized Atanassov’s Intuitionistic Fuzzy Index

    • Lidiane Costa, Mônica Matzenauer, Adenauer Yamin, Renata Reiser, Benjamín Bedregal
    Pages 217-229
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About this book

This book constitutes the thoroughly refereed proceedings of the 37th IFSA Conference, NAFIPS 2018, held in Fortaleza, Brazil, in July 2018. The 55 full papers presented were carefully reviewed and selected from 73 submissions. 
The papers deal with a large spectrum of topics, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification, neuro-fuzzy systems, fuzzy control systems, fuzzy modeling, fuzzy mathematical morphology, fuzzy dynamical systems, time series forecasting, and making decision under uncertainty.

Editors and Affiliations

  • Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

    Guilherme A. Barreto

  • Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Brazil

    Ricardo Coelho

Bibliographic Information

  • Book Title: Fuzzy Information Processing

  • Book Subtitle: 37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings

  • Editors: Guilherme A. Barreto, Ricardo Coelho

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-319-95312-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-95311-3Published: 04 July 2018

  • eBook ISBN: 978-3-319-95312-0Published: 03 July 2018

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XV, 602

  • Number of Illustrations: 165 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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