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Reseach Article

Evaluating Students� Performance using Fuzzy Logic

Published on February 2013 by Shilpa N. Ingoley, J.w. Bakal
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 9
February 2013
Authors: Shilpa N. Ingoley, J.w. Bakal
8d4d52e1-72ad-4c96-bf75-248370725853

Shilpa N. Ingoley, J.w. Bakal . Evaluating Students� Performance using Fuzzy Logic. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 9 (February 2013), 15-20.

@article{
author = { Shilpa N. Ingoley, J.w. Bakal },
title = { Evaluating Students� Performance using Fuzzy Logic },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 9 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 15-20 },
numpages = 6,
url = { /proceedings/icrtitcs2012/number9/10310-1444/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Shilpa N. Ingoley
%A J.w. Bakal
%T Evaluating Students� Performance using Fuzzy Logic
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 9
%P 15-20
%D 2013
%I International Journal of Computer Applications
Abstract

Fair results give motivation and encouragement to the students. So reforms in education are must not only in curriculum development but also in students' performance assessment. Proposed method is useful when questions in the examination are of subjective or objective type and total time duration is given to attempt all questions rather than individual question. This method considers importance and complexity of question into account. It makes use of fuzzy inference system (FIS) and fuzzy logic.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Student Evaluation Fuzzification Defuzzification Computational Intelligent (ci) Soft Computing