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A Study on the Causes for Failures in Mathematics by Engineering Students using Combined Fuzzy Clustering Model (CFCLM)

by A. Praveen Prakash, J. Esther Jerlin, J. Bennilo Fernandes
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 6
Year of Publication: 2014
Authors: A. Praveen Prakash, J. Esther Jerlin, J. Bennilo Fernandes
10.5120/16344-5675

A. Praveen Prakash, J. Esther Jerlin, J. Bennilo Fernandes . A Study on the Causes for Failures in Mathematics by Engineering Students using Combined Fuzzy Clustering Model (CFCLM). International Journal of Computer Applications. 94, 6 ( May 2014), 1-7. DOI=10.5120/16344-5675

@article{ 10.5120/16344-5675,
author = { A. Praveen Prakash, J. Esther Jerlin, J. Bennilo Fernandes },
title = { A Study on the Causes for Failures in Mathematics by Engineering Students using Combined Fuzzy Clustering Model (CFCLM) },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 6 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number6/16344-5675/ },
doi = { 10.5120/16344-5675 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:17:25.662748+05:30
%A A. Praveen Prakash
%A J. Esther Jerlin
%A J. Bennilo Fernandes
%T A Study on the Causes for Failures in Mathematics by Engineering Students using Combined Fuzzy Clustering Model (CFCLM)
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 6
%P 1-7
%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 Fuzzy Clustering Model(CFCLM). First time the working rule for this model is derived by creating an algorithm. The study of failure in Mathematics among engineering students is analyzed using Combined Fuzzy Clustering (CFCLM) model. It is important to note that the performance in mathematics in all the engineering colleges, including IITs by students undergoing B. E and B. Tech courses are considerably poor. This paper analyzes the problem by taking a pilot survey from 100 Engineering students, Engineering faculties and parents of engineering students. This paper consists of eight 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 Fuzzy Clustering Model" approach to seek the dominant cause for the failure. Section two discuss about the causes for failure in mathematics by engineering students. Section three gives the preliminaries and the basics of Combined Fuzzy Clustering Model approach. Section fourdeals with the application of the said approach in determining the cluster of problems, that fall under the three categories viz, 'low', 'moderate' and 'high'. Section five consists of the algorithm used for the study of the problem. Sixth and Seventh section give the main findings as conclusion and suggestions. And, the final eighth section gives the references used for the study.

References
  1. A. Kaufmann, "Introduction to the Theory of Fuzzy Subsets", Academic Press ,INC. (LONDON) LTD,1975.
  2. B. Kosko, "Neural Networks and Fuzzy systems: A Dynamical System Approach to Machine Intelligence", Prentice Hall of India,1997.
  3. H. J. Zimmermann, "Fuzzy Set Theory and its application", Fourth Edition Springer2011.
  4. J. Klir George/Bo Yuan, "FuzzysetsandFuzzy Logic: Theory and Applications", Prentice Hall of India.
  6. VasanthaKandasamy W. B,Smarandache Florentin and K. Ilanthendral, "Elementary Fuzzy Matrix Theory and Fuzzy Models for Social Scientists"-2007.
  8. A. VictorDevadoss,A. Felix,"FuzzyClusteringoftheDomesticViolencefor the Degree of Suicide thought based on Married Women Perception",2012,IJERAp:1770-1773.
  10. VasanthaKandasamy W. B and Smarandache Florentin "Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps", Xiquan, Phoenix (2003).
  12. W. B. Vasantha Kandasamy and S. Uma, "Combined Fuzzy Cognitive Maps of Socio EconomicModel"Appl. Sci. Periodical, 225-27(2000).
  14. Fuzzy Clustering: http://en. wikipedia. org/wiki/Fuzzy_clustering.
  16. A. Victor Devadoss, A. Rajkumar and C. Jayalatha, "Analysis of Individual faith through Holy Bible Using Fuzzy Clustering", IJCTE. 2013. V5. 785.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Fuzzy Clustering Combined Fuzzy ClusteringModel (CFCLM) Degrees of Membership Failure in Maths.

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