Fine-Kinney-based fuzzy multi-criteria occupational risk assessment : approaches, case studies and Python applications / Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik.
Gul, Muhammet, 1985- author.
2021
HD61 .G85 2021
Available Online

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Title Fine-Kinney-based fuzzy multi-criteria occupational risk assessment : approaches, case studies and Python applications / Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik.
Author Gul, Muhammet, 1985- author.
ISBN 9783030521486 (electronic bk.)
3030521486 (electronic bk.)
3030521478
9783030521479
DOI https://doi.org/10.1007/978-3-030-52148-6
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-52148-6 doi
Call Number HD61 .G85 2021
Dewey Decimal Classification 658.15/5
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from digital title page (viewed on October 26, 2020).
Series Studies in fuzziness and soft computing ; v. 398.
Available in Other Form Fine-Kinney-based fuzzy multi-criteria occupational risk assessment.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Intro
Preface
Contents
1 Fine-Kinney Occupational Risk Assessment Method and Its Extensions by Fuzzy Sets: A State-of-the-Art Review
1.1 Classical Fine-Kinney Method
1.2 Drawbacks of Fine-Kinney Method
1.3 Methodology of the State-of-the-Art Review
1.4 Fine-Kinney Using MCDM Methods and Fuzzy Sets
1.5 Analysis Results of the Review
1.6 Conclusion
References
2 Fine-Kinney-Based Occupational Risk Assessment Using Fuzzy Best and Worst Method (F-BWM) and Fuzzy MAIRCA
2.1 Fuzzy Set Theory, BWM, and MAIRCA
2.1.1 General View on Fuzzy Set Theory

2.1.2 BWM Method
2.1.3 F-MAIRCA Method
2.2 Proposed Fine-Kinney-Based Approach Using F-BWM and F-MAIRCA
2.3 Case Study
2.3.1 Application Results
2.3.2 Validation Study on the Results
2.4 Python Implementation of the Proposed Approach
References
3 Fine-Kinney-Based Occupational Risk Assessment Using Interval Type-2 Fuzzy TOPSIS
3.1 Interval Type-2 Fuzzy Set and TOPSIS
3.1.1 General View on Interval Type-2 Fuzzy Set
3.1.2 TOPSIS Method
3.2 Proposed Fine-Kinney-Based Approach Using Interval Type-2 F-TOPSIS
3.3 Case Study
3.3.1 Application Results

3.3.2 Validation Study on the Results
3.4 Python Implementation of the Proposed Approach
References
4 Fine-Kinney-Based Occupational Risk Assessment Using Interval-Valued Pythagorean Fuzzy VIKOR
4.1 Pythagorean Fuzzy Sets and VIKOR
4.1.1 General View on Pythagorean Fuzzy Sets
4.1.2 VIKOR Method
4.2 Proposed Fine-Kinney-Based Approach Using IVPFVIKOR
4.3 Case Study
4.3.1 Application Results
4.3.2 Validation Study on the Results
4.4 Python Implementation of the Proposed Approach
References

5 Fine-Kinney-Based Occupational Risk Assessment Using Intuitionistic Fuzzy TODIM
5.1 Intuitionistic Fuzzy Sets and TODIM
5.1.1 General View on Intuitionistic Fuzzy Sets
5.1.2 TODIM Method
5.2 Proposed Fine-Kinney-Based Approach Using IFTODIM
5.3 Case Study
5.3.1 Application Results
5.3.2 Validation Study on the Results
5.4 Python Implementation of the Proposed Approach
References
6 Fine-Kinney-Based Occupational Risk Assessment Using Hexagonal Fuzzy MULTIMOORA
6.1 Hexagonal Fuzzy Numbers and MULTIMOORA
6.1.1 Hexagonal Fuzzy Numbers and Its Operations

6.1.2 MULTIMOORA Method
6.2 Proposed Fine-Kinney-Based Approach Using HFMULTIMOORA
6.2.1 The Fuzzy Ratio System
6.2.2 The Fuzzy Reference Point
6.2.3 The Fuzzy Full Multiplicative Form
6.3 Case Study
6.3.1 Application Results
6.3.2 Validation Study on the Results
6.4 Python Implementation of the Proposed Approach
References
7 Fine-Kinney-Based Occupational Risk Assessment Using Single-Valued Neutrosophic TOPSIS
7.1 Neutrosophic Sets and TOPSIS
7.1.1 General View on Single-Valued Neutrosophic Sets
7.1.2 TOPSIS Method

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