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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Cengiz Kahraman

    1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

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  2. Selcuk Cebi

    1. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

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  3. Sezi Cevik Onar

    1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

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  4. Basar Oztaysi

    1. Management Faculty, Istanbul Technical University, İstanbul, Turkey

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  5. A. Cagri Tolga

    1. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

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  6. Irem Ucal Sari

    1. Management Faculty, Istanbul Technical University, Istanbul, Turkey

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  • Presents recent research on intelligent and fuzzy techniques in big data analytics and decision-making big data analytics
  • Includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference held in Istanbul, Turkey, July 23–25, 2019
  • Features interdisciplinary research on fuzzy & intelligent systems and real complex systems

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1029)

Included in the following conference series:

Conference proceedings info: INFUS 2019.

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Table of contents (161 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Theoretical Research on Intelligent and Fuzzy Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Bipolar Models for a More Realistic Representation and Processing of Human Judgments, Intentions and Preferences: A Role of Fuzzy Logic

      • Janusz Kacprzyk
      Pages 3-3

    3. Nature-Inspired Optimization of Type-2 Fuzzy Logic Controllers

      • Oscar Castillo
      Pages 4-6

    4. Fuzzy Sets in Clustering: On Fuzzy Partitions

      • Vicenç Torra, Aránzazu Jurío, Humberto Bustince, Laya Aliahmadipour
      Pages 7-14

    5. Principals of Spherical Fuzzy Sets

      • Fatma Kutlu Gündoğdu
      Pages 15-23

    6. A Study on Vulnerability Parameters of Signed Fuzzy Graphs

      • R. Sundareswaran, R. Sujatha, Goksen Bacak-Turan
      Pages 24-32

    7. A New Ranking Method for Triangular Intuitionistic Fuzzy Numbers

      • Gultekin Atalik, Sevil Senturk
      Pages 33-38

    8. On the WABL Defuzzification Method for Intuitionistic Fuzzy Numbers

      • Ali Mert
      Pages 39-47

    9. Evolution of L-Fuzzy Contexts Associated with Criteria

      • Cristina Alcalde, Ana Burusco
      Pages 48-55

    10. Intuitionistic Fuzzy Density Based Spatial Clustering of Applications with Noise: IFDBSCAN

      • Mustafa Ünver, Nihal Erginel
      Pages 56-64

    11. A Conceptual Study on RPAs as of Intelligent Automation

      • Özlen Erkal Sönmez, Dilek Yılmaz Börekçi
      Pages 65-72

    12. Some Topological Indices in Fuzzy Graphs

      • Shriram Kalathian, Sujatha Ramalingam, Sundareswaran Raman, Narasimman Srinivasan
      Pages 73-81

    13. The Quick Exposure Check (QEC) Model Proposal Based on Fuzzy Logic for Work-Related Musculoskeletal Risk Assessment

      • Yildiz Kose, Ayse Nur Karabayir, Emre Cevikcan
      Pages 82-88

    14. Parameter Estimation and Fuzzy Controller Design for a Two-Axis Gimbal

      • Roya Jahanandish, Amir Khosravifard, Ramin Vatankhah, Vahid Cheraghi
      Pages 89-97

    15. A Likelihood Method for the Comparison of Intuitionistic Trapezoidal Fuzzy Numbers

      • Hatice Ercan-Tekşen
      Pages 98-105

    16. Design and Implementation of Adaptive Fuzzy PD Line Following Robot

      • Anıl Sezgin, Ömer Çetin
      Pages 106-114

    17. An Improved Fuzzy Cognitive Mapping Method

      • Umut Asan, Cigdem Kadaifci
      Pages 115-122

    18. Extending QFD with Pythagorean Fuzzy Sets for Sustainable Supply Chain Management

      • Gülçin Büyüközkan, Gizem Çifçi
      Pages 123-132

    19. A New Community Detection Algorithm Based on Fuzzy Measures

      • Inmaculada Gutiérrez, Daniel Gómez, Javier Castro, Rosa Espínola
      Pages 133-140
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  1. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

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About this book

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.


Editors and Affiliations

  • Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman, Sezi Cevik Onar, Irem Ucal Sari

  • Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  • Management Faculty, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

  • Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

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