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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2

  • Conference proceedings
  • © 2022

Overview

  • Presents recent research in intelligent and fuzzy techniques
  • Includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 20201 Conference held at Istanbul, Turkey
  • Presents interdisciplinary research between fuzzy and intelligent systems and real complex systems

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 308)

Included in the following conference series:

Conference proceedings info: INFUS 2021.

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Table of contents (102 papers)

  1. Intuitionistic Fuzzy Sets

  2. Learning Algorithms

Other volumes

  1. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

  2. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Keywords

About this book

This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristicsand metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.



Editors and Affiliations

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

    Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari

  • 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 for Emerging Conditions and Digital Transformation

  • Book Subtitle: Proceedings of the INFUS 2021 Conference, held August 24-26, 2021. Volume 2

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

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-85577-2

  • 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 2022

  • Softcover ISBN: 978-3-030-85576-5Published: 24 August 2021

  • eBook ISBN: 978-3-030-85577-2Published: 23 August 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XVII, 897

  • Number of Illustrations: 81 b/w illustrations, 149 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Artificial Intelligence

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