Abstract
In computer domain the professionals were limited in number but the numbers of institutions looking for computer professionals were high. The aim of this study is developing self learning expert system which is providing troubleshooting information about problems occurred in the computer system for the information and communication technology technicians and computer users to solve problems effectively and efficiently to utilize computer and computer related resources. Domain knowledge was acquired using semistructured interview technique, observation and document analysis. Domain experts were purposively selected for the interview question. The conceptual model of the expert system was designed by using a decision tree structure which is easy to understand and interpret the causes involved in computer troubleshooting. Based on the conceptual model, the expert system was developed by using ‘if – then’ rules. The developed system used backward chaining to infer the rules and provide appropriate recommendations. According to the system evaluators 83.6% of the users were satisfied with the prototype.
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More From: International Journal of Artificial Intelligence & Applications
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