Cheng C Flight Safety Management Quantitative and AI Approaches 2025 | 12.22 MB
Title: Flight Safety Management
Author: Chi-Bin Cheng · Huan-Jyh Shyur
Description:
(Etienne de Rocquigny, Nicolas Devictor, Stefano Tarantola, eds.)
Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers.
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https://rapidgator.net/file/e17e9ae...ment._Quantitative_and_AI_Approaches_2025.rar
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(Etienne de Rocquigny, Nicolas Devictor, Stefano Tarantola, eds.)
Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers.
DOWNLOAD:
https://rapidgator.net/file/e17e9ae...ment._Quantitative_and_AI_Approaches_2025.rar
https://nitroflare.com/view/517A99A...ment._Quantitative_and_AI_Approaches_2025.rar
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