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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment: Approaches, Case Studies and Python Applications

 

DESCRIPTION

(Studies in Fuzziness and Soft Computing, 398) 1st ed. 2021 Edition 

by Muhammet Gul (Author), Suleyman Mete (Author), Faruk Serin (Author), Erkan Celik (Author) 

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.

DETAILS:

Year: 2021
Pages: 173
Language: English
Format: PDF
Size: 10 MB
Publisher: Springer
ISBN-10: 3030521478
ISBN-13: 978-3030521479
ASIN: B08KG1Y4JZ
Tag: Download Book Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment: Approaches, Case Studies and Python Application