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The SACSO methodology for troubleshooting complex systems

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Publication:2758715
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DOI10.1017/S0890060401154065zbMath0981.68512OpenAlexW2121656101MaRDI QIDQ2758715

Uffe B. Kjærulff, Marta Vomlelová, Helge Langseth, Claus Skaanning, Brian Kristiansen, Jiří Vomlel, Finn Verner Jensen

Publication date: 2 April 2002

Published in: Artificial Intelligence for Engineering Design, Analysis and Manufacturing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0890060401154065


zbMATH Keywords

Bayesian networktroubleshooting


Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)


Related Items (6)

Troubleshooting using probabilistic networks and value of information ⋮ Decision-theoretic troubleshooting: hardness of approximation ⋮ Probabilistic inference with noisy-threshold models based on a CP tensor decomposition ⋮ Scheduling results applicable to decision-theoretic troubleshooting ⋮ Extensions of Decision-Theoretic Troubleshooting: Cost Clusters and Precedence Constraints ⋮ Complexity of decision-theoretic troubleshooting




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