Using the Dempster-Shafer Scheme in a Diagnostic Expert System Shell
This work addresses uncertainty management in diagnostic expert systems for domains requiring probabilistic reasoning, but it appears incremental as it combines existing methods.
The paper tackled the problem of uncertainty in diagnostic expert systems by integrating rule-based reasoning with the Dempster-Shafer evidence combination scheme, resulting in a system that uses belief functions and mixed-initiative inferencing for user interaction.
This paper discusses an expert system shell that integrates rule-based reasoning and the Dempster-Shafer evidence combination scheme. Domain knowledge is stored as rules with associated belief functions. The reasoning component uses a combination of forward and backward inferencing mechanisms to allow interaction with users in a mixed-initiative format.