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Students Performance Evaluation using MCDM Methods through Customized Software

by Pavani Sirigiri, H.S. Hota, L.K. Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 15
Year of Publication: 2015
Authors: Pavani Sirigiri, H.S. Hota, L.K. Sharma
10.5120/ijca2015907171

Pavani Sirigiri, H.S. Hota, L.K. Sharma . Students Performance Evaluation using MCDM Methods through Customized Software. International Journal of Computer Applications. 130, 15 ( November 2015), 11-14. DOI=10.5120/ijca2015907171

@article{ 10.5120/ijca2015907171,
author = { Pavani Sirigiri, H.S. Hota, L.K. Sharma },
title = { Students Performance Evaluation using MCDM Methods through Customized Software },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 15 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number15/23284-2015907171/ },
doi = { 10.5120/ijca2015907171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:57.213396+05:30
%A Pavani Sirigiri
%A H.S. Hota
%A L.K. Sharma
%T Students Performance Evaluation using MCDM Methods through Customized Software
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 15
%P 11-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi criterion Decision Making (MCDM) methods are widely applied in many domains for finding rank based on the available conflicting nature of the criteria and to choose the best alternative. MCDM methods comprise of complex mathematical calculations which required time to solve, especially, when number of criteria and alternatives are more. In order to automate the process software is required to develop, which will provide an interactive and dynamic way to solve problems with n numbers of ranks of the alternatives. This paper introduces developed software for solving MCDM based problems, including many MCDM methods and to evaluate the performance of software with two different case studies related to the performance of students.

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Index Terms

Computer Science
Information Sciences

Keywords

Student Performance Ranking Multi Criterion Decision Making Fuzzy TOPSIS Fuzzy.

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