CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Fuzzy Logic System for Admissibility of Prospective Student to Nursery Class

by Goldendeep Kaur, Prabhjot Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 5
Year of Publication: 2015
Authors: Goldendeep Kaur, Prabhjot Singh
10.5120/20554-2933

Goldendeep Kaur, Prabhjot Singh . A Fuzzy Logic System for Admissibility of Prospective Student to Nursery Class. International Journal of Computer Applications. 117, 5 ( May 2015), 41-44. DOI=10.5120/20554-2933

@article{ 10.5120/20554-2933,
author = { Goldendeep Kaur, Prabhjot Singh },
title = { A Fuzzy Logic System for Admissibility of Prospective Student to Nursery Class },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 5 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number5/20554-2933/ },
doi = { 10.5120/20554-2933 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:33.191997+05:30
%A Goldendeep Kaur
%A Prabhjot Singh
%T A Fuzzy Logic System for Admissibility of Prospective Student to Nursery Class
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 5
%P 41-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Education plays a vital role in our lives. In today's constantly changing technological world, education is necessity after food, clothing and shelter. Competition prevails in every sphere of life. Even at primary level there is massive rush for admissions. Every school has its own criteria for selecting prospective students. This research is an attempt to design and implement a fuzzy logic system to identify the eligibility of the concerned students. In the system designed, four input parameters which are Neighborhood points, Educational Qualification of Parents, Siblings points and Alumni points are evaluated using Fuzzy system to infer an output parameter eligibility according to which we can decide whether the child is eligible for admission.

References
  1. Ekong Victor. , Ekong Uyinomen. , Uwadiae Enobakhare. : A Fuzzy Inference System for predicting depression risk levels. Emmanuel African Journal of Mathematics and Computer Science Research, Vol. 6(10), pp 197-204 (2013).
  2. G. A Bhosle. , R. S. Kamath. : Fuzzy inference system for teaching staff performance appraisal. International journal of computer and information technology (ISSN 2279-0764) volume 02-Issue (2013).
  3. José Luis Aznarte M. , José Manuel Benítez. , Juan Luis Castro. ,: Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences. Received (28 March 2006); received in revised form (1 March 2007); accepted (24 March 2007) Available online 7 April 2007, http://sci2s. ugr. es/publications/ficheros/2007-aznarte-FSS. pdf
  4. J. -S. R. Jang. : Adaptive-Network-Based Fuzzy Inference System. In proceedings of IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 3(1993).
  5. Lazim Abudullah1. , Mohd Nordin Abd Rahman. : Employee likelihood of purchasing health insurance using fuzzy inference system. International Journal of Computer Science Issues. Vol 9, Issue 1, No. 2 (2012).
  6. Maltab Guide.
  7. Maedeh Rasoulzadeh. : facial expression recognition using fuzzy inference system. International Journal of Engineering andInnovative Technology. Vol. 1, Issue 4 (2012).
  8. Steven D. Kaehler. : Fuzzy Logic Tutorial. Retrieved from:http://www. seattlerobotics. org/encoder/mar98/fuz/flindex. html.
  9. Zalinda Othman, Khairanun Subari. , Norhashimah Morad. : Application of fuzzy inference systems and genetic algorithms in integrated process process planning and scheduling. Academin Staff Training Research, Research Grant No. 305/PTEKIND/622140.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Eligibility Criteria Admissions Fuzzy Rules.

Powered by PhDFocusTM