Overview
- 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
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 211)
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Table of contents (10 chapters)
Keywords
About this book
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.Authors and Affiliations
Bibliographic Information
Book Title: Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems
Book Subtitle: Approaches, Case Studies, Multi-criteria Decision-Making, Multi-objective Decision-Making, Fuzzy Risk-Based Models
Authors: He Li, Mohammad Yazdi
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-07430-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-07429-5Published: 10 July 2022
Softcover ISBN: 978-3-031-07432-5Published: 11 July 2023
eBook ISBN: 978-3-031-07430-1Published: 09 July 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XI, 189
Number of Illustrations: 20 b/w illustrations, 36 illustrations in colour
Topics: Control, Robotics, Mechatronics, Computational Intelligence, Artificial Intelligence