Implementing fuzzy message requirement classifiers system into the computer troubleshooting learning

This study utilizes a fuzzy message requirement classifiers system (FMRCS) that integrates both learning and inference into the learning of the computer troubleshooting ability and adopts a teaching strategy of problem-solving. The main purpose in this study is to guide learners to have the conspicuous direction when they face some computer troubles. Consequently, learners can be based on FMRCS with support to gain troubleshooting ability and have an opportunity of thinking and then impressing themselves on obtaining knowledge. Under the comparison between the general e-learning system and FMRCS, the result shows that FMRCS is better in the students´ inference and troubleshooting ability.