Modifiable combining functions

Paul R. Cohen, Glenn Shafer, Prakash P. Shenoy

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)47-57
Number of pages11
JournalArtificial Intelligence for Engineering, Design, Analysis and Manufacturing
Issue number1
StatePublished - Feb 1987

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence


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