University of Twente Student Theses
Converting Decision Trees into Fault Trees
Negru, Dan (2024) Converting Decision Trees into Fault Trees.
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| Abstract: | Decision trees and fault trees serve as foundational models for assessing the reliability and performance of complex systems, albeit originating from distinct domains. While their underlying information is fundamentally equivalent, their different structures serve different analytical perspectives, leading to distinct applications in various fields. Despite extensive research into converting fault trees to decision trees, the reverse process remains largely unexplored. This paper seeks to bridge the gap between these two essential models. We propose novel algorithms based on cut sets and recursion to facilitate this conversion process, highlighting the effectiveness of the latter in our experimental results. The focus of this research extends beyond mere translation, aiming to optimize the visual representation of the generated fault trees and to acknowledge the inherent challenges in transitioning from a decision-based framework to a fault-based representation. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/100951 |
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