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Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23, 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Cengiz Kahraman

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

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  2. Sezi Cevik Onar

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

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  3. Basar Oztaysi

    1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

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  4. Irem Ucal Sari

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

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  5. Selcuk Cebi

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

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  6. A. Cagri Tolga

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

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  • Presents recent research in intelligent and fuzzy techniques
  • Includes the proceedings of INFUS 2020, held in istanbul, Turkey, July 21–23, 2020
  • Highlights interdisciplinary research on fuzzy & intelligent systems and real complex systems

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1197)

Included in the following conference series:

Conference proceedings info: INFUS 2020.

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Table of contents (197 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Invited Speakers’ Papers

    1. Front Matter

      Pages 1-1
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    2. Fuzzy Meets Privacy: A Short Overview

      • Vicenç Torra, Guillermo Navarro-Arribas
      Pages 3-9

    3. Intelligent Planning of Spatial Analysis Process Based on Contexts

      • Stanislav Belyakov, Alexander Bozhenyuk, Janusz Kacprzyk, Igor Rozenberg
      Pages 10-17

    4. The Method of Finding the Base Set of Intuitionistic Fuzzy Graph

      • Alexander Bozhenyuk, Stanislav Belyakov, Janusz Kacprzyk, Margarita Knyazeva
      Pages 18-25

    5. Intuitionistic Fuzzy Assessments of the Abdominal Aorta and Its Branches

      • Valetin Vasilev, Evdokia Sotirova, Krassimir Atanassov, Sotir Sotirov
      Pages 26-31

    6. Mathematical Philosophy and Fuzzy Logic

      • Ahmet Fahri Özok
      Pages 32-35

  3. Clustering

    1. Front Matter

      Pages 37-37
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    2. Segmentation of Retail Consumers with Soft Clustering Approach

      • Onur Dogan, Abdulkadir Hiziroglu, Omer Faruk Seymen
      Pages 39-46

    3. Segmentation Analysis of Companies’ Natural Gas Consumption by Soft Clustering

      • Onur Dogan
      Pages 47-53

    4. Comparison of Fuzzy C-Means and K-Means Clustering Performance: An Application on Household Budget Survey Data

      • Songul Cinaroglu
      Pages 54-62

    5. A Hybrid Approach for Clustering and Selecting of Cloud Services Based on User Preferences Evaluation

      • Ouassila Hioual, Ouided Hioual, Sofiane Mounine Hemam
      Pages 63-70

    6. Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data

      • Tolga Kaya, Ahmet Talha Yiğit, Utku Doğruak
      Pages 71-78

    7. Journey Segmentation of Turkish Tobacco Users Using Sequence Clustering Techniques

      • Ahmet Talha Yiğit, Tolga Kaya, Utku Doğruak
      Pages 79-86

    8. A Survey on Spherical Fuzzy Sets and Clustering the Literature

      • Eren Ozceylan, Baris Ozkan, Mehmet Kabak, Metin Dagdeviren
      Pages 87-97

  4. Picture Fuzzy Sets and Spherical Fuzzy Sets

    1. Front Matter

      Pages 99-99
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    2. Picture Fuzzy Linear Assignment Method and Its Application to Selection of Pest House Location

      • Fatma Kutlu Gundogdu
      Pages 101-109

    3. Simple Additive Weighting and Weighted Product Methods Using Picture Fuzzy Sets

      • Fatma Kutlu Gundoğdu, Eda Bolturk
      Pages 110-117

    4. Evaluating Sustainable Vehicle Technologies for Freight Transportation Using Spherical Fuzzy AHP and TOPSIS

      • Miguel Jaller, Irem Otay
      Pages 118-126

    5. Evaluating Strategic Entry Decisions Using Spherical Fuzzy Sets

      • Sezi Cevik Onar, Cengiz Kahraman, Basar Oztaysi
      Pages 127-133
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  1. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Keywords

About this book

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.  

Editors and Affiliations

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

    Cengiz Kahraman, Sezi Cevik Onar, Irem Ucal Sari

  • Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Basar Oztaysi

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

    Selcuk Cebi

  • Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

Bibliographic Information

  • Book Title: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

  • Book Subtitle: Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23, 2020

  • Editors: Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-51156-2

  • 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 2021

  • Softcover ISBN: 978-3-030-51155-5Published: 11 July 2020

  • eBook ISBN: 978-3-030-51156-2Published: 10 July 2020

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXIII, 1705

  • Number of Illustrations: 250 b/w illustrations, 200 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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