Modeling of Student’s Performance Evaluation

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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