Muhammet Gul Suleyman Mete Faruk Serin Erkan Celik Gul Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

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

von Muhammet Gul Suleyman Mete Faruk Serin Erkan Celik

Approaches, Case Studies and Python Applications

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Beschreibung

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.


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.


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

Autor*in

Muhammet Gul

Themen in »Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment«

Risk Analysis Fine–Kinney Method Multi-Criteria Decision-Making Risk Assessment Python Implementation quality control, reliability, safety and risk

Stimmen zu »Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment«

Details

ISBN: 9783030521479
Verlag: Springer International Publishing
Erscheinung: 30.09.2020

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