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Comparing Expert Systems Built Using Different Uncertain Inference Systems
This study compares the inherent intuitiveness or usability of the most prominent methods for managing uncertainty in expert systems, including those of EMYCIN, PROSPECTOR, Dempster-Shafer theory, fuzzy set theory, simplified probability theory (assuming marginal independence), and linear regression using probability estimates.
The Role of Tuning Uncertain Inference Systems
This study examined the effects of "tuning" the parameters of the incremental function of MYCIN, the independent function of PROSPECTOR, a probability model that assumes independence, and a simple additive linear equation.
An Odds Ratio Based Inference Engine
Expert systems applications that involve uncertain inference can be represented by a multidimensional contingency table.
Evaluation of Uncertain Inference Models I: PROSPECTOR
This paper examines the accuracy of the PROSPECTOR model for uncertain reasoning.
