Similarity Networks for the Construction of Multiple-Faults Belief
  Networks
  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.
