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.

Offers how decision-makers can improve system safety and reliability performance using advanced decision-making methods Identifies the requirements of using the best and advanced decision-making methods Provides a range of methodologies for decision-makers and analysts, well suited to the complexity of decision problems

Inhalt
Dynamic decision-making trial and evaluation laboratory (DEMATEL): Improving safety management system.- Reliability analysis with correlated failure modes by transforming Fault Tree model to Bayesian network: A case study of the MDS of a CNC machine tool.- What are the critical well-drilling blowouts barriers? A progressive DEMATEL-Game theory.- Developing failure modes and effect analysis on offshore wind turbines using two-stage optimization probabilistic linguistic preference relations. <p