Abstract:- We proposed a Fuzzy Model System (FMS) for student
performance evaluation. A suitable fuzzy inference mechanism has been
discussed in the paper. We mentioned how fuzzy principal can be applying in
student performance prediction. This model can be useful for educational
organization, educators, teachers, and students also. We proposed this model
especially for first year students who need some extraordinary monitoring to
their performance. Modeling based on the past academic result and on some
information they earlier submitted for admission purposes.
Keywords: Fuzzy Logic, Membership Functions, Academic
Evaluation
I.
Introduction
Success rate of any Educational Institute or Organization
may depend upon the prior evaluation of student’s performance. They use
different method for student’s performance evaluation usually any educational
organization use grading system on the basis of academic performance especially
higher education. We can involve other key points to evaluating student
performance such as communication skill, marketing skill, leadership skill etc.
Performance evaluation can
provide information. Information generated by evaluation can be helpful for
students, teachers, educators etc. to take decisions.[6] In corporate field
employers highly concern about all mentioned skill. If an educational institute
involve other than academic performance for evaluation then it will be
beneficial for students as well as organization also.
A.
Traditional Evaluation Method
Traditionally student’s performance evaluate done by
academic performance like class assignment, model exams, Yearly etc. This
Primary technique involves either numerical value like 6.0 to 8.0 which may
call grade point average or 60% to 80% i.e average percentage. Some
organization also using linguistic terms like pass, fail, supply for performance
evaluation. Such kind of evaluation scheme depends upon criteria which are
decided by experienced evaluators. So that evaluation may be approximate.
The objective of this paper is to
present a model .which may be very useful for teachers, organization and
students also. It helps to better understanding weak points which acts as a
barrier in student’s progress.
B.
Method Used
Fuzzy logic can be described by fuzzy set. It provide
reasonable method / technique through input and output process fig[1].Fuzzy set
can be defined by class of object, there is no strident margins for object[1].A
fuzzy set formed by combination of linguistic variable using linguistic
modifier.
Linguistic Modifier is link to
numerical value and linguistic variable [2]. In our work linguistic variable is
performance and linguistic modifiers are good, very good, excellent, and
outstanding.
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