Fuzzy approach for student's performance analyzer / Mohd Iqbal Radzuan

As it is a routine activity, the tedious and dreary process of evaluating student's
academic records will be a problem for academic advisor to recognize their student's
intelligence ability in academic. This major difficulty leads to ineffective evaluation of
student's academic records which have to consider many criteria in order to analyze
them. Sometimes, it could resuh to unreliable analyzed result. The objective of this
research is to apply the concept of fuzzy logic and fuzzy inferencing in Howard
Gardner's tiieory of multiple intelligence in order to determine student's intelligence
level. Concept of fuzzy logic and fuzzy inferencing is proved to be well suited to the
problem of this nature as it is capable of capturing the imprecision of human reasoning
and judgments. These two concepts have been implemented in the prototype of
Student's Performance Analyzer. The prototype is enable to assist academic advisor by
analyze the student's academic record and determine their intelligence level in three
different areas: spatial, logic and arithmetic, and linguistic. The prototype also is able to
provide efficient and reliable analyzing result compared to human's analyzing process.
As for the recommendation, the decision support system is one of the enhancement
solutions to the research by combining concept of fiizzy logic, fazzy inferencing and
decision support system architecture.