CFP last date
20 January 2025
Reseach Article

An Analysis on Causes for Failure in Mathematics by Engineering Students in Tamil Nadu using Combined Overlap Fuzzy Clustering Model (COFCLM)

by A. Praveen Prakash, M. P. Kannan, J. Esther Jerlin
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 6
Year of Publication: 2014
Authors: A. Praveen Prakash, M. P. Kannan, J. Esther Jerlin
10.5120/16345-5676

A. Praveen Prakash, M. P. Kannan, J. Esther Jerlin . An Analysis on Causes for Failure in Mathematics by Engineering Students in Tamil Nadu using Combined Overlap Fuzzy Clustering Model (COFCLM). International Journal of Computer Applications. 94, 6 ( May 2014), 8-14. DOI=10.5120/16345-5676

@article{ 10.5120/16345-5676,
author = { A. Praveen Prakash, M. P. Kannan, J. Esther Jerlin },
title = { An Analysis on Causes for Failure in Mathematics by Engineering Students in Tamil Nadu using Combined Overlap Fuzzy Clustering Model (COFCLM) },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 6 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number6/16345-5676/ },
doi = { 10.5120/16345-5676 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:51.723740+05:30
%A A. Praveen Prakash
%A M. P. Kannan
%A J. Esther Jerlin
%T An Analysis on Causes for Failure in Mathematics by Engineering Students in Tamil Nadu using Combined Overlap Fuzzy Clustering Model (COFCLM)
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 6
%P 8-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this paper is to introduce a new fuzzy model called Combined Overlap Fuzzy Clustering Model (COFCLM). First time, the working rule for this model is derived by creating an algorithm. The quality of teaching and learning mathematics has been one of the major challenges and concern for the educators. Mathematics comprises of wide variety of skills and concepts. Mathematics education should enable engineering students to communicate their ideas in an unambiguous and understandable way and should equip themselves with the analytical skills as practicing engineers. Mathematical thinking and modelling give engineers the ability to approach new problems with confidence. There are around 570 engineering colleges in Tamil Nadu where most students show their aversion in learning mathematics and they learn this subject without involvement and interest. More number of arrears is kept in this subject compared to other subjects by students who are backward in studies. Students fail to understand the seriousness of this subject. This paper consists of seven sections. Section one is introductory in nature that gives the background of the problem under study and gives the justification for having chosen to use the "Combined Overlap Fuzzy Clustering Model (COFCLM)" approach to seek the dominant causes for the failure in Mathematics. Section two gives the preliminaries and the basics of Combined Overlap Fuzzy Clustering Model approach. Section three deals with the application of the said approach in determining the cluster of problems, that fall under the categories 'low', 'moderate' and 'high'. Section four gives the algorithm for the working of the model. Section five gives the main findings as conclusions. Section six deals with the suggestions for the study of the problem. And, the final seventh section gives the references used for the study.

References
  1. B. Kosko, "Neural Networks and Fuzzy systems: A Dynamical System Approach to Machine Intelligence", Prentice Hall of India, 1997.
  2. H. J. Zimmermann, "Fuzzy Set Theory and its application", Fourth Edition Springer 2011.
  3. J. Klir George/Bo Yuan, "Fuzzy sets and Fuzzy Logic: Theory and Applications", Prentice Hall of India.
  4. Vasantha Kandasamy W. B, Smarandache Florentin and K. Ilanthendral, "Elementary Fuzzy Matrix Theory and Fuzzy Models for Social Scientists"-2007.
  5. A. Victor Devadoss, A. Felix, "Fuzzy Clustering of the Domestic Violence for the Degree of Suicide thought based on Married Women Perception",2012, IJERA p: 1770-1773.
  6. Vasantha Kandasamy W. B and Smarandache Florentin "Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps", Xiquan, Phoenix (2003).
  7. W. B. VasanthaKandasamy and S. Uma, "Combined Fuzzy Cognitive Maps of Socio Economic Model" Appl. Sci. Periodical, 225-27(2000).
  8. http://en. wikipedia. org/wiki/Fuzzy_clustering.
  9. A. Victor Devadoss, A. Rajkumar and C. Jayalatha, "Analysis of Individual faith through Holy Bible Using Fuzzy Clustering", IJCTE. 2013. V5. 785.
  10. A. Victor Devadoss, A. Rajkumar and Jose Parvin N Praveena, "A Study on Miracles through Holy Bible using Combined Overlap Fuzzy Cognitive Maps (COBFCMS), IJCA 53(15):17-21, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Fuzzy Clustering Combined Fuzzy Clustering Combined Overlap Fuzzy Clustering Model (COFCLM) Degrees of Membership Failure in Maths.