In most rule-based expert system, building of rules can easily be done. Knowledge engineer or expert
does not have to do any work specifying rules and how they are linked to each other. Sometime the
knowledge engineer or expert can reference rules or facts that have not yet been created. It seems to be a
simple and an instant work. The problem due to the performance of the knowledge will not occur until the
number of niles is getting higher. Some problem may appear in the form of inconsistent rules,
unreachable rules, redundant rule and rotating chain of rules. In order to solve that problem and to achieve
that mentioned performance, a rule-based knowledge acquisition system using Ternary Grid is developed.
This system acquires knowledge from human expert using grid or matrix system. Ternary Grid represents
a model of rule-based knowledge in a grid or matrix format.
