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Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution

by Mohammad A. A. Alhawamdeh
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 1
Year of Publication: 2017
Authors: Mohammad A. A. Alhawamdeh
10.5120/ijais2017451665

Mohammad A. A. Alhawamdeh . Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution. International Journal of Applied Information Systems. 12, 1 ( Apr 2017), 9-23. DOI=10.5120/ijais2017451665

@article{ 10.5120/ijais2017451665,
author = { Mohammad A. A. Alhawamdeh },
title = { Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution },
journal = { International Journal of Applied Information Systems },
issue_date = { Apr 2017 },
volume = { 12 },
number = { 1 },
month = { Apr },
year = { 2017 },
issn = { 2249-0868 },
pages = { 9-23 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number1/979-2017451665/ },
doi = { 10.5120/ijais2017451665 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:07:50.654479+05:30
%A Mohammad A. A. Alhawamdeh
%T Development of Fuzzy Decision Support System (FDSS) Procedures to Best Select e-Learning Solution
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 1
%P 9-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the recent days, technological systems were developed to be more intelligent for serving the users’ needs. As the result, the developers used Artificial Intelligence (AI) methods for this purpose. In addition, Decision Support System (DSS) used to be guide for the decision makers in determining the correct decision taken in specific situation. Since, DSS technique is used in many different areas: learning, health, spatial data, etc. Hence, the proposed algorithm-based procedures/steps in this paper depends on considering all offered systems' criteria and matching these criteria with the requirements of the academic institutions which desire to purchase an e-Learning system. This paper supports the selection of e-Learning system, which is new argument that needs AI technique based on decisional tree techniques. Later, more optimization work will be introduced to modify the current methodology.

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Index Terms

Computer Science
Information Sciences

Keywords

Decision criteria; fuzzy DEMATEL; e-learning selection

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