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Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment : Approaches, Case Studies and Python Applications (1st ed. 2021)

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

Part of the Studies in Fuzziness and Soft Computing series
3030521478 / 9783030521479
Hardback
26/11/2020
Published 26/11/2020
Switzerland
155 x 235 mm 163 pages, 28 Illustrations, color; 2 Illustrations, black and white; XV, 163 p. 30 illus., 28 illus
Professional & Vocational  Learn More

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.

BIC:

TGPR Reliability engineering, UMX Programming & scripting languages: general, UYQ Artificial intelligence

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