Fine-Kinney-based fuzzy multi-criteria occupational risk assessment: approaches, case studies and Python applications

by Gul, Muhammet

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Title Statements

Full title :Fine-Kinney-based fuzzy multi-criteria occupational risk assessment : approaches, case studies and Python applications / Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik.

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.

Edition Statements

Publication Date:2021

Publication Statements

Publisher(s):Springer
Place of Publication:Cham, Switzerland
Language:eng
Publication Date:2021

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9783030521486, 3030521486
DOI:10.1007/978-3-030-52148-6
oclc:on1198558003
LC Classification:HD61
Dewey Decimal:658.15/5

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 Stud…