Thesis

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.

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