Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis (Hardcover, 1st ed. 2022)

This book reviews and presents a number of approaches to Fuzzy-based system safety and reliability assessment. For each proposed approach, it provides case studies demonstrating their applicability, which will enable readers to implement them into their own risk analysis process. The book begins by giving a review of using linguistic terms in system safety and reliability analysis methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the 2-tuple fuzzy-based linguistic term set approach, fuzzy bow-tie analysis, optimizing the allocation of risk control measures using fuzzy MCDM approach, fuzzy sets theory and human reliability, and emergency decision making fuzzy-expert aided disaster management system. This book will be of interest to professionals and researchers working in the field of system safety and reliability, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 414
Release date:	March 2022
First published:	2022
Editors:	Mohammad Yazdi
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	200
Edition:	1st ed. 2022
ISBN-13:	978-3-03-093351-7
Categories:	Books > Computing & IT > Computer hardware & operating systems > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-03-093351-2
Barcode:	9783030933517

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