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

Approaches, Case Studies and Python Applications

  • Muhammet Gul
  • Suleyman Mete
  • Faruk Serin
  • Erkan Celik
Book

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 398)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 31-44
  3. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 45-68
  4. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 69-89
  5. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 91-110
  6. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 111-133
  7. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 135-149
  8. Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
    Pages 151-163

About this book

Introduction

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.

Keywords

Risk Analysis Fine–Kinney Method Multi-Criteria Decision-Making Risk Assessment Python Implementation

Authors and affiliations

  • Muhammet Gul
    • 1
  • Suleyman Mete
    • 2
  • Faruk Serin
    • 3
  • Erkan Celik
    • 4
  1. 1.Department of Emergency Aid and Disaster ManagementMunzur UniversityTunceliTurkey
  2. 2.Department of Industrial EngineeringGaziantep UniversityGaziantepTurkey
  3. 3.Department of Computer EngineeringMunzur UniversityTunceliTurkey
  4. 4.Department of Transportation and LogisticsIstanbul UniversityIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-52148-6
  • Copyright Information Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-030-52147-9
  • Online ISBN 978-3-030-52148-6
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site