Studies in Fuzziness and Soft Computing: Approaches, Case Studies and Python Applications

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

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.

Details

Published by: Springer

Publication Date: 2020-09-30

Format: Hardcover

ISBN-13: 9783030521479

DOI: 10.1007/978-3-030-52148-6

Dimensions: 235cm x155cm

Pages: 163