Design of a Fuzzy Expert System as an Intelligent Assistant for Thesis Supervisor’s Educational Counseling
Abstract. Nowadays, much of educational affairs of university students are done electronically which obliterates the necessity of physical presence of students in university. However, there are some cases in which supervisor-student interactions with regard to educational, advisory and counseling issues require physical presence of students in the university. The present study introduces an intelligent expert system as an assistant to the supervisor which has solves the problem. The database of this system is rule-based and is devised in such a way that uses a faultless inference engine which yields to future developments. The inference engine of the system employs forward chaining and works on the basis of deductive and inductive inference. Cost reduction, synthetic knowledge and greater availability are among the advantages of this system.
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