Importance measures are a well-known concept developed in reliability theory. Here, we apply this concept to assumption-based reasoning, a field which in fact is quite close to reliability theory. Based on quasi-supporting and supporting arguments, we develop two concepts of importance measures and show how they are related to the ones from reliability theory.
CITATION STYLE
Anrig, B. (2001). Importance measures from reliability theory for probabilistic assumption-based reasoning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2143, pp. 692–703). Springer Verlag. https://doi.org/10.1007/3-540-44652-4_61
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