ENGLISH

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

By Muhammet Gul , Suleyman Mete , Faruk Serin , Erkan Celik

Book information

Publisher
Springer International Publishing;Springer
Year
2021
ISBN
9783030521479, 9783030521486
DOI
10.1007/978-3-030-52148-6
Language
english
Format
PDF
Filesize
10 MB (10178043 bytes)
Series
Studies in Fuzziness and Soft Computing 398
Edition
1st ed.
Pages
XV, 163\173
Time added
2021-01-06 05:41:07
Engineering; Quality ControlReliabilitySafety and Risk; Python; Computational Intelligenc

Description

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.

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