Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis

ISBN-13: 9783030933517 / Angielski / Twarda / 2022 / 216 str.

Mohammad Yazdi

Spis treści

Chapter 1: A brief review of using linguistic terms in system safety and reliability analysis.- Chapter 2: 2-tuple fuzzy-based linguistic term set approach to analyse the system safety and reliability.- Chapter 3: Fuzzy Bow-Tie analysis: Concepts, Review, and Application.- Chapter 4: Optimizing the allocation of risk control measures using fuzzy MCDM approach: review and application.- Chapter 5: Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions.- Chapter 6: Emergency Decision Making Fuzzy-Expert Aided Disaster Management System.- Chapter 7: Smart Decision Fuzzy-based Data Envelopment Model for Failure Modes and Effects Analysis.- Chapter 8: Introducing a probabilistic-based hybrid model (fuzzy-BWM-Bayesian network) to assess the quality index of a medical service.- Chapter 9: Fuzzy Linear Programming in system safety.- Chapter 10: .Step forward on how to treat linguistic terms in judgment in failure probability estimation.

Blurb

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.