ICTACT Journal on Soft Computing

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Student Prediction System for Placement Training Using Fuzzy Inference System


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1 School of Computer Science and Engineering, Lovely Professional University, India
     

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Proposed student prediction system is most vital approach which may be used to differentiate the student data/information on the basis of the student performance. Managing placement and training records in any larger organization is quite difficult as the student number are high; in such condition differentiation and classification on different categories becomes tedious. Proposed fuzzy inference system will classify the student data with ease and will be helpful to many educational organizations. There are lots of classification algorithms and statistical base technique which may be taken as good assets for classify the student data set in the education field. In this paper, Fuzzy Inference system has been applied to predict student performance which will help to identify performance of the students and also provides an opportunity to improve to performance. For instance, here we will classify the student's data set for placement and non-placement classes.

Keywords

Classification, Fuzzy Inference System, MATLAB.
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  • Student Prediction System for Placement Training Using Fuzzy Inference System

Abstract Views: 320  |  PDF Views: 3

Authors

Ravi Kumar Rathore
School of Computer Science and Engineering, Lovely Professional University, India
J. Jayanthi
School of Computer Science and Engineering, Lovely Professional University, India

Abstract


Proposed student prediction system is most vital approach which may be used to differentiate the student data/information on the basis of the student performance. Managing placement and training records in any larger organization is quite difficult as the student number are high; in such condition differentiation and classification on different categories becomes tedious. Proposed fuzzy inference system will classify the student data with ease and will be helpful to many educational organizations. There are lots of classification algorithms and statistical base technique which may be taken as good assets for classify the student data set in the education field. In this paper, Fuzzy Inference system has been applied to predict student performance which will help to identify performance of the students and also provides an opportunity to improve to performance. For instance, here we will classify the student's data set for placement and non-placement classes.

Keywords


Classification, Fuzzy Inference System, MATLAB.

References