Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment: Approaches, Case Studies and Python Applications
Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan CelikThis 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.种类:
年:
2021
出版:
1st ed.
出版社:
Springer International Publishing;Springer
语言:
english
ISBN 10:
3030521486
ISBN 13:
9783030521486
系列:
Studies in Fuzziness and Soft Computing 398
文件:
PDF, 9.71 MB
IPFS:
,
english, 2021