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Multicriteria And Optimization Models For Risk Reliability And Maintenance Decision Analysis Recent Advances Adiel Teixeira De Almeida

Name: Multicriteria And Optimization Models For Risk Reliability And Maintenance Decision Analysis Recent Advances Adiel Teixeira De Almeida
SKU: BELL-46083512
Price: 31.00 USD
Availability: InStock
Rating: 4.8 (64 reviews)

SKU: BELL-46083512

Multicriteria And Optimization Models For Risk Reliability And Maintenance Decision Analysis Recent Advances Adiel Teixeira De Almeida

$ 31.00 ~~$ 45.00~~ (-31%)

4.8

64 reviews

Multicriteria And Optimization Models For Risk Reliability And Maintenance Decision Analysis Recent Advances Adiel Teixeira De Almeida instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 10.94 MB

Pages: 501

Author: Adiel Teixeira de Almeida, Love Ekenberg, Philip Scarf, Enrico Zio, Ming J. Zuo

ISBN: 9783030896461, 3030896463

Language: English

Year: 2022

Product desciption

Multicriteria And Optimization Models For Risk Reliability And Maintenance Decision Analysis Recent Advances Adiel Teixeira De Almeida by Adiel Teixeira De Almeida, Love Ekenberg, Philip Scarf, Enrico Zio, Ming J. Zuo 9783030896461, 3030896463 instant download after payment.

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 bookMulticriteria 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.