Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems: Approaches, Case Studies, Multi-criteria Decision-Making, ... in Systems, Decision and Control, 211)

✍ Scribed by He Li, Mohammad Yazdi

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 196
• Edition: 1st ed. 2022
• Category: Library

✦ Synopsis

This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications.

The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory.

This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.

✦ Table of Contents

Preface
References
Contents
1 Dynamic Decision-Making Trial and Evaluation Laboratory (DEMATEL): Improving Safety Management System
1.1 Introduction
1.2 Proposed Methodology: Dynamic-DEMATEL
1.3 Application of Study
1.4 Conclusion
References
2 Reliability Analysis of Correlated Failure Modes by Transforming Fault Tree Model to Bayesian Network: A Case Study of the MDS of a CNC Machine Tool
2.1 Introduction
2.2 Methodologies
2.3 Case Studies
2.3.1 The MDS and Failure Criterion
2.3.2 Establish the Fault Tree
2.3.3 Failure Data of Components
2.3.4 Reliability Analysis with Discrete Failure Data
2.3.5 Reliability Analysis with Continuous Life Data
2.4 Conclusions
References
3 What Are the Critical Well-Drilling Blowouts Barriers? A Progressive DEMATEL-Game Theory
3.1 Introduction
3.2 Preliminary: DEMATEL “Decision-Making Trial and Evaluation Laboratory”
3.3 Preliminary: Game Theory
3.4 The Progressive DEMATEL-Game Theory Approach
3.5 Case Study
3.6 Conclusion
References
4 Developing Failure Modes and Effect Analysis on Offshore Wind Turbines Using Two-Stage Optimization Probabilistic Linguistic Preference Relations
4.1 Introduction
4.2 Preliminary: Probabilistic Linguistic Preference Relations (PLPRs)
4.3 The Proposed Methodology
4.4 Application of Study
4.5 Conclusion
References
5 Integration of the Bayesian Network Approach and Interval Type-2 Fuzzy Sets for Developing Sustainable Hydrogen Storage Technology in Large Metropolitan Areas
5.1 Introduction
5.2 Preliminary: Bayesian Network Approach
5.3 Preliminary: Interval Type-2 Fuzzy Sets (IT2FSs)
5.4 Case Study
5.5 Results and Discussions
5.6 Conclusion
References
6 How to Deal with Toxic People Using a Fuzzy Cognitive Map: Improving the Health and Wellbeing of the Human System
6.1 Introduction
6.2 Preliminary: Fuzzy Cognitive Map
6.3 Methodology
6.4 Case Study
6.5 Conclusion
References
7 An Advanced TOPSIS-PFS Method to Improve Human System Reliability
7.1 Introduction
7.2 Preliminary: Spherical Fuzzy Set (PFS)
7.3 Methodology: An Advanced TOPSIS-PFS Method
7.4 Case Study
7.5 Conclusion
References
8 Stochastic Game Theory Approach to Solve System Safety and Reliability Decision-Making Problem Under Uncertainty
8.1 Introduction
8.2 Preliminary: MCDM as a Game Theory
8.3 The Bouali Sina Fire Accident Decision-Making Problem
8.4 The Stochastic Game Theory of Bouali Sina Fire Accident Decision-Making Problem
8.5 Conclusion
References
9 Advanced Decision-Making Neutrosophic Fuzzy Evidence-Based Best–Worst Method
9.1 Introduction
9.2 Preliminary: Neutrosophic Fuzzy Set
9.3 Preliminary. Evidence Theory
9.4 The Proposed Methodology
9.5 Application of Study
9.5.1 Sensitivity Analysis
9.5.2 Comparison Analysis Using Fuzzy AHP, BWM, TOPSIS, and the Simple Average Method
9.6 Conclusion
References
10 A Holistic Question: Is It Correct that Decision-Makers Neglect the Probability in the Risk Assessment Method?
10.1 Problem Statement
10.2 Open Discussion
References