Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis (Studies in Fuzziness and Soft Computing, 414)

✍ Scribed by Mohammad Yazdi (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 210
• Category: Library

✦ Synopsis

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 offuzzy systems.

✦ Table of Contents

Preface
References
Contents
1 A Brief Review of Using Linguistic Terms in System Safety and Reliability Analysis
1.1 The Linguistic Terms in the State of Arts
1.2 The Linguistic Terms in System Safety and Reliability
References
2 2-tuple Fuzzy-Based Linguistic Term Set Approach to Analyse the System Safety and Reliability
2.1 Introduction
2.2 Background of 2-tuple Linguistic Terms
2.3 Case Study
2.3.1 Application Results
2.4 Conclusions
References
3 Fuzzy Bow-Tie Analysis: Concepts, Review, and Application
3.1 Introduction
3.2 Sources of Uncertainty in Process Safety Analysis (PSA)
3.3 Fault Tree Analysis (FTA)
3.4 Event Tree Analysis (ETA)
3.5 Bow-Tie Analysis (BTA)
3.6 Fuzzy Set Theory and Fuzzy Logic
3.7 Risk Assessment Matrix (RAM)
3.8 Methodology
3.8.1 Establishing an expert’s Team
3.8.2 Exploration of Accident Scenarios
3.8.3 Determination of Fault Tree (FT) and Event Tree (ET) Event Probabilities
3.8.4 Selection of Fuzzy Membership Function
3.8.5 Determination of Linguistic Variables to Define BEs and SFs Probabilities
3.8.6 Aggregation of Fuzzy Inputs
3.8.7 Transforming Failure Possibility (FPS) to Failure Probability (FP)
3.8.8 Determination of Bow-Tie Frequency/probabilities
3.8.9 Defuzzification of Aggregated of Fuzzy Values
3.8.10 Determination of Consequences Severity
3.8.11 Risk Assessment
3.9 Case Study
3.10 Conclusion
References
4 Optimizing the Allocation of Risk Control Measures Using Fuzzy MCDM Approach: Review and Application
4.1 Introduction
4.2 Typical Framework for Risk Management
4.3 Risk Control Models
4.3.1 Hierarchy of Control Model
4.3.2 Chemical Process Safety Strategies
4.3.3 Haddon’s Matrix
4.4 Evaluation of Risk Control Measures: Conflicting Criteria
4.5 Multi-Criteria Decision-Making Methods
4.6 Expert Opinions; Vague Linguistic Values
4.7 Fuzzy Analytic Hierarchy Process (FAHP)
4.7.1 Consistency Ratio
4.7.2 Absolute AHP
4.8 Application of MCDM Techniques for Safety Optimization Problems
4.9 An Application of Fuzzy MCDM for Evaluation of RCMs
4.10 A Conceptual Framework for Evaluation of RCMs
4.11 General Technique for Evaluating Control Measures (GTECM)
4.11.1 Weighting Haddon Matrix with FAHP
4.11.2 Weighing Quality and Risk-Related Factors with FAHP
4.11.3 Rating RCMs with Absolute AHP
4.12 Results of the Overall Score
4.13 Classification of the Overall Scores
4.14 Application and Results
4.15 Conclusion
References
5 Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions
5.1 Introduction
5.2 Human Reliability Analysis Review
5.3 Fuzzy Set Contributions and Applications in HRA
5.3.1 Predicting Human Error Probability (HEP)
5.3.2 Quantifying the Performance Shaping Factors (PSFs) Influence
5.3.3 Modeling Intra-dependency Among PSFs
5.3.4 HEP in Quantitative Risk Analysis (QRA)
5.3.5 Human Behavior (Factor) Model
5.3.6 Uncertainty Treatment
5.4 Conclusion
References
6 Emergency Decision Making Fuzzy-Expert Aided Disaster Management System
6.1 Introduction
6.2 Methodology
6.3 Application of Study
6.4 Implications
6.5 Conclusion
References
7 Smart Decision Fuzzy-Based Data Envelopment Model for Failure Modes and Effects Analysis
7.1 Introduction
7.2 Material and Methodology
7.2.1 Preliminaries of FMEA
7.2.2 Expert Judgment
7.2.3 Date Envelopment Analysis (DEA)
7.3 Application of Study
7.4 Conclusion
References
8 Introducing a Probabilistic-Based Hybrid Model (Fuzzy-BWM-Bayesian Network) to Assess the Quality Index of a Medical Service
8.1 Introduction
8.2 Proposing a New Probabilistic-Based Hybrid Model (Fuzzy-BWM-Bayesian Network)
8.3 Application of Study
8.4 Conclusion
References
9 Fuzzy Linear Programming in System Safety
9.1 Introduction
9.2 Classification
9.3 Applications of Fuzzy Linear Programming
9.3.1 Computer Science Artificial Intelligence
9.3.2 Operations Research and Management Science
9.3.3 Multi-objective FLP
9.4 Future Direction
References
10 Step Forward on How to Treat Linguistic Terms in Judgment in Failure Probability Estimation
10.1 Introduction
10.2 Problem Statement
10.3 Conclusion
References