A study of numeric models of uncertain reasoning in expert systems

This thesis studies numeric models of uncertain reasoning based on the theory of probability, the certainty factor theory, the Dempster-Shafer theory of evidence, and the theory of fuzzy sets, discusses their application in expert systems, and analyzes their relative strengths and weaknesses.