Modifiable combining functions
Paul R. Cohen, Glenn R. Shafer, Prakash Pundalik Shenoy · Artificial intelligence for engineering design analysis and manufacturing · 1987
Modifiable combining functions are a synthesis of two common approaches to combining evidence. They offer many of the advantages of these approaches and avoid some disadvantages. Because they facilitate the acquisition, representation, explanation, and modification of knowledge about combinations of evidence, they are proposed as a tool for knowledge engineers who build systems that reason under uncertainty, not as a normative theory of evidence.