Importance measures from reliability theory for probabilistic assumption-based reasoning

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Abstract

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.

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APA

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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