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A Brief Survey on Fuzzy Logic Systems for Performance Appraisal

by Ramit Manuja, Sandeep Singh Bindra, S. C. Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 24
Year of Publication: 2018
Authors: Ramit Manuja, Sandeep Singh Bindra, S. C. Gupta
10.5120/ijca2018918036

Ramit Manuja, Sandeep Singh Bindra, S. C. Gupta . A Brief Survey on Fuzzy Logic Systems for Performance Appraisal. International Journal of Computer Applications. 181, 24 ( Oct 2018), 39-42. DOI=10.5120/ijca2018918036

@article{ 10.5120/ijca2018918036,
author = { Ramit Manuja, Sandeep Singh Bindra, S. C. Gupta },
title = { A Brief Survey on Fuzzy Logic Systems for Performance Appraisal },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2018 },
volume = { 181 },
number = { 24 },
month = { Oct },
year = { 2018 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number24/30088-2018918036/ },
doi = { 10.5120/ijca2018918036 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:07:00.492097+05:30
%A Ramit Manuja
%A Sandeep Singh Bindra
%A S. C. Gupta
%T A Brief Survey on Fuzzy Logic Systems for Performance Appraisal
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 24
%P 39-42
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Effective monitoring of student’s performance is an important task for successful higher learning. Performance appraisal enables institutions to foresee student progression as well as inform the students well in time, the areas they need to improve. Traditional evaluation methods do not fully justify these objectives whereas Fuzzy logic based appraisal approaches are like human inference and give better evaluation results. In this paper we describe the advantages of the fuzzy logic approach for performance evaluation over the traditional method as fuzzy expert system can be built not only with the given information in the dataset but can also include the vital knowledge of experts at various levels as and when required. Furthermore, various existing approaches using fuzzy logic approach in this field have been investigated and compared for their merits and demerits.

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Index Terms

Computer Science
Information Sciences

Keywords

Effective monitoring Performance appraisal Fuzzy logic Human inference Fuzzy expert system