Designing a Fuzzy Expert System for Measurement the Satisfaction of Electronic Learner

Student satisfaction of e-learning systems plays an important role in their academic performance as well as the success and effectiveness of this area. With regard to being qualitative the measurement of satisfaction, this research has designed a fuzzy expert system. Therefore, factors such as interactions, feedback, quality and usefulness of e-learning, is intended for student satisfaction. In order to determining the amount of each of these factors in the studied population, the fuzzy techniques are used. The priorities and importance of each of them in satisfaction obtained by using the analytic hierarchy process. After completing the knowledge base and benefit from expert opinion, the fuzzy rule base has been completed and the exact amount of satisfaction is obtained with the mamdani fuzzy inference. The sample in this study is the seventy Master students of Electronic PNU which after implemented the system with Matlab software, their satisfaction level obtained "high" and the exact amount of satisfaction is-estimated "0.75". Also, validation the model indicate high conformity of results and experts opinion in this felid.