Expert system techniques are now being incorporated successfully in commercial computer software packages. This thesis introduces the techniques of developing a rule-based expert system in a general-purpose programming language -- C. The topics of this thesis include significance of expert system shells and approaches used, structure of the knowledge base, loading of the knowledge base, manipulation of the probabilities of rule attributes, and implementation of the inference engine. The inference engine uses the information that users supply to find an object that matches. Today C language is one of the most popular programming languages in use and C compilers consistently produce extremely fast and efficient executable programs. Thisthesisdemonstrates that C language is an appropriate computer language for a rule-based expert system. / Department of Computer Science
| Identifer | oai:union.ndltd.org:BSU/oai:cardinalscholar.bsu.edu:handle/183579 |
| Date | January 1988 |
| Creators | Kuo, Yung-Li |
| Contributors | Ball State University. Dept. of Computer Science., Tzeng, Chun-Hung |
| Source Sets | Ball State University |
| Detected Language | English |
| Format | iv, 108 leaves : ill. ; 28 cm. |
| Source | Virtual Press |
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