Similarity Networks for the Construction of Multiple-Fault Belief Networks
UAI-P-1990-PG-32-39 |
Stanford University Interactive Workspaces Project Technical Note 2001-1
A similarity network is a tool for constructing belief networks for the diagnosis of a single fault. In this paper, we examine modifications to the similarity-network representation that facilitate the construction of belief networks for the diagnosis of multiple coexisting faults.