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Modeling Academic Performance Evaluation using Fuzzy C-Means Clustering Techniques

by Ramjeet Singh Yadav, Vijendra Pratap Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 8
Year of Publication: 2012
Authors: Ramjeet Singh Yadav, Vijendra Pratap Singh
10.5120/9711-4174

Ramjeet Singh Yadav, Vijendra Pratap Singh . Modeling Academic Performance Evaluation using Fuzzy C-Means Clustering Techniques. International Journal of Computer Applications. 60, 8 ( December 2012), 15-23. DOI=10.5120/9711-4174

@article{ 10.5120/9711-4174,
author = { Ramjeet Singh Yadav, Vijendra Pratap Singh },
title = { Modeling Academic Performance Evaluation using Fuzzy C-Means Clustering Techniques },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 8 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number8/9711-4174/ },
doi = { 10.5120/9711-4174 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:06:00.289596+05:30
%A Ramjeet Singh Yadav
%A Vijendra Pratap Singh
%T Modeling Academic Performance Evaluation using Fuzzy C-Means Clustering Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 8
%P 15-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we explore the applicability of Fuzzy C-Means clustering technique to student allocation problem that allocates new students to homogenous groups of specified maximum capacity, and analyze effects of such allocations on the academic performance of students. This paper also presents a Fuzzy set and Regression analysis based rules based Fuzzy Expert System model which is capable of dealing with imprecision and missing data that is commonly inherited in the student academic performance evaluation. This model automatically converts crisp sets into fuzzy sets by using C-Means clustering technique for academic performance evaluation.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Clustering Fuzzy C-Means Clustering Technique Rule based Fuzzy Expert Systems Membership Function and Academic Performance Evaluation

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