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Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications (Hardcover, 1st ed. 2021)
Loot Price: R3,020
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Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications (Hardcover, 1st ed. 2021)
Series: Studies in Fuzziness and Soft Computing, 398
Expected to ship within 10 - 15 working days
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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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