Studies in Fuzziness and Soft Computing

Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

Approaches, Case Studies and Python Applications

Authors: Gul, M., Mete, S., Serin, F., Celik, E.

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  • Discusses new approaches of occupational safety risk assessment
  • Presents Python implementations for each proposed approaches
  • Provides a clear overview of Fine–Kinney method of risk assessment
  • Shows the reader a successful application of fuzzy methods
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  • ISBN 978-3-030-52148-6
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About this book

This book presents a number of approaches to Fine–Kinney–based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process.

The book begins by giving a review of Fine–Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX.

This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

About the authors

Dr Muhammet Gul is an associate professor in the Department of Industrial Engineering at Munzur university. He gained his MSc and PhD in 2011 and 2016 respectively, both from Yıldız Technical University. He has authored or co-authored around 75 journal and conference papers, and has acted as a reviewer for multiple journals and books. His research interests include risk assessment and management, operations research and fuzzy sets and systems.

Dr Suleyman Mete graduated with his PhD from Gaziantep University in 2017. He had gained his MSc from the same university in 2013. He currently works as an assistant professor at Gaziantep University, in the Department of Industrial Engineering. He has published over 30 journal and proceedings papers, mainly focused on assembly/disassembly line balancing, optimization and mathematical modelling.

Dr Faruk Serin currently works as an assistant professor in the Department of Computer Engineering at Munzur University. He gained his MSc and PhD from Inonu University in 2013 and 2017 respectively. Prior to becoming an assistant professor, he worked as a research assistant at Inonu University. His research interests include machine learning, computer aided diagnosis and multi-attribute decision-making.

Dr Erkan Celik has been associate professor at Munzur University since 2018. He graduated with his MSc in industrial engineering in 2011 from Selcuk University, and gained his PhD in 2015 from Yıldız Technical University. He has authored or co-authored over 60 journal papers and proceedings papers. He  has reviewed papers for numerous journals.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Fine–Kinney Occupational Risk Assessment Method and Its Extensions by Fuzzy Sets: A State-of-the-Art Review

    Pages 1-11

    Gul, Assoc. Prof. Muhammet (et al.)

  • Fine–Kinney-Based Occupational Risk Assessment Using Fuzzy Best and Worst Method (F-BWM) and Fuzzy MAIRCA

    Pages 13-30

    Gul, Assoc. Prof. Muhammet (et al.)

  • Fine–Kinney-Based Occupational Risk Assessment Using Interval Type-2 Fuzzy TOPSIS

    Pages 31-44

    Gul, Assoc. Prof. Muhammet (et al.)

  • Fine–Kinney-Based Occupational Risk Assessment Using Interval-Valued Pythagorean Fuzzy VIKOR

    Pages 45-68

    Gul, Assoc. Prof. Muhammet (et al.)

  • Fine–Kinney-Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM

    Pages 69-89

    Gul, Assoc. Prof. Muhammet (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-52148-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $149.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment
Book Subtitle
Approaches, Case Studies and Python Applications
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
398
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-52148-6
DOI
10.1007/978-3-030-52148-6
Hardcover ISBN
978-3-030-52147-9
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XV, 163
Number of Illustrations
2 b/w illustrations, 28 illustrations in colour
Topics