Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis
Recent Advances
Enrico Zio editor Ming J Zuo editor Adiel Teixeira de Almeida editor Love Ekenberg editor Philip Scarf editor
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:30th Jun '23
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£129.99(9783030896461)
This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). Intended primarily as an update of the 2015 book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, this edited work provides an integration of applied probability and decision making. Within applied probability, it primarily includes decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance.
In decision making, it includes multicriteria decision making/aiding (MCDM/A) methods and optimization models. Within MCDM, in addition to decision analysis, some of the topics related to mathematical programming areas are considered, such as multiobjective linear programming, multiobjective nonlinear programming, game theory and negotiations, and multiobjective optimization. Methods related to these topics have been applied to the context of RRM. In MCDA, several other methods are considered, such as outranking methods, rough sets and constructive approaches.
The book addresses an innovative treatment of decision making in RRM, improving the integration of fundamental concepts from both areas of RRM and decision making. This is accomplished by presenting current research developments in decision making on RRM. Some pitfalls of decision models on practical applications on RRM are discussed and new approaches for overcoming those drawbacks are presented.
“The book deals with multicriteria and optimization models with emphasis on solving large-scale problems, which have a real-world application. … Each book chapter has excellent information, great formulas, stunning figures, numerical examples with good conclusions, and future studies. The book is well written and the presentation is easy to follow. It will be useful to advanced graduate students and researchers dealing with multicriteria and optimization problems … .” (P. Senthil Kumar, zbMATH 1525.90001, 2024)
ISBN: 9783030896492
Dimensions: unknown
Weight: unknown
508 pages
1st ed. 2022