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

Mohammad A. A. Alhawamdeh. Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Mohammad A. A. Alhawamdeh
10.5120/ijais2017451665
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  1. 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):9-23, April 2017. URL, DOI BibTeX

    @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 = "April 2017",
    	volume = 12,
    	number = 1,
    	month = "Apr",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "9-23",
    	url = "http://www.ijais.org/archives/volume12/number1/979-2017451665",
    	doi = "10.5120/ijais2017451665",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, 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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Keywords

Decision criteria; fuzzy DEMATEL; e-learning selection