An Expert System Model Using Predicate Transition Nets,
MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
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A Predicate Transition Net model of expert systems with fuzzy logic is proposed as a means for dealing with uncertainty. Attention is focused on consultant expert systems which use the production rules formalism to represent knowledge. Models of the basic fuzzy logical operators are presented base on the Predicate Transition Nets formalism. The combination of these operators allows to represent the links among the rules of a knowledge base and to simulate dynamically the behavior of an expert system in its search for a solution to a problem in its domain to expertise. Finally, two applications of this model are described assessment of parallelism in a knowledge base and the evaluation of time-related measures for expert systems.
- Computer Programming and Software