CFP last date
17 June 2024
Reseach Article

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

by Mohammad A. A. Alhawamdeh
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

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 = { },
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

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.

  1. Vahidi, J. and Salookolayi, D. (2014) 'A model for selecting an ERP system with triangular fuzzy numbers and mamdani inference', Journal of Mathematics and Computer Science, Vol.9.pp. 46-54.
  2. Wei, C. and Wang, M. (2004) 'A comprehensive framework for selecting an ERP system', International Journal of Project Management, Vol.22, PP: 161-169.
  3. Lee, M., Chang, J., Chen, J. (2011) 'An Entropy Decision Model for Selection of Enterprise Resource Planning System', International Journal of Computer Trends and Technology, Issue 2011.
  4. Huang, L. and Wu, Y. (2005) 'Applying Fuzzy analytic hierarchy process in managerial talent assessment model', International Journal of Technology Management, Vol.30, No.2.
  5. Hawly, D. and Johnson, J. (2000) 'Artificial Intelligence Network Systems: A Network tool for financial Decision Making', Financial Analysis Journal, Vol 46, No 6, PP. 63-72.
  6. Chan, W. and Tong, T. (2007) 'Multi-criteria material selections and end-of-life product strategy: grey relational analysis approach', Materials & Design, Vol.28, PP.1539-1546.
  7. Naser, S., Masri, A., Sultan, Y. and Zaqout, I. (2011) 'A Prototype Decision Support System for Optimizing the Effectiveness of E-learning in Educational Institutions', International Journal of Data Mining, Vol.1, NO. 4.
  8. DeLone, W. and McLean, E. (2003) 'The DeLone and McLean Model of Information Systems Success: A Ten Year Update', Journal of Management Information Systems, Vol.19, 4, 9-30.
  9. Wang, Y.-S., Wang, H.-Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.
  10. Herrington, A., Herrington, J., Oliver, R., Stoney, S. and Willis, J. (2001) 'Quality Guidelines for Online Courses: The Development of an Instrument to Audit Online Units', Proceeding of ASCILITE, Melbourne, Australia, 263-270, December 9-12, 2001.
  11. Steinberger, C. (2005) 'EduBITE: Developing an E-Learning Environment for Enterprise-Resource-Planning-Systems', in Proceedings of ICIHE03, Austria.
  12. Yang, R., Cowling, P. and Dahal, K. (2008) 'A Purchasing Decision Support System for a Rental Company', The 7th International Symposium on Operations Research and Its Applications (ISORA’08).
  13. Andrea, C. Mauro, G. (2012) Adoption of e-learning solution: selection criteria and recent trends, [PDF], University of Milan-Bicocca.
  14. Jeon, S. (2007) 'An integrated e-learning system for simulation-based instruction of anaesthesia machines', International Journal of Knowledge and Learning, Vol.3, No.1, pp. 106-120.
  15. Lasseter, M. and Rogers, M. (2004) 'Creating Flexible E-learning Through the Use of Learning Objects', Educause Quarterly, Vol.27, No.4, pp. 72-74.
  16. Browning, P. and Lowndes, M. (2001) JISC TechWatch Report: Content Management Systems, [pdf], UK, [online]: June 23, 2013, available at:
  17. Chin, P., (2008) Developing a Content Management System Strategy, [e-Book], Publisher: Jupitermedia Corp, UK, [online]: 5 March 2013, available at:
  18. Grover, S., Franz, P., Schneider, E. and Pea, R. (2012), The MOOC as Distributed Intelligence: Dimensions of a Framework & Evaluation of MOOCs, Stanford Graduate School of Education, Stanford, CA. [online]
  19. Schneider, E. (2013) 'Welcome to the moocspace: a proposed theory and taxonomy for massive open online courses., In the Proceedings of the Ist Workshop on Massive Open Online Courses at the 16th Annual Conference on Artificial Education.
  20. Kritikou, Y., Demestichas, P. and Adamopoulou, E. (2008) 'User Profile Modeling in the context of web-based learning management systems', Journal of Network and Computer Applications, Vol.31, pp. 603–627. Elsevier Ltd.
  21. Boag, P., (2010) Website Owner’s Manual: the Secret to a successful Website, [PDF], Manning Publications Co., USA, [online]: 3 March 2013, available at:
  22. Baylari, A. and Montazer, G. A. (2009) 'Design a personalized e-learning system based on item response theory and artificial neural network approach', Expert Systems with Applications, Vol 36, Issue 4, Pages 8013-8021.
  23. Yarandi, M., Jahankhani, H. and Tawil, A. (2013) 'A personalized adaptive e-learning approach based on semantic web technology', Webology, Vol.10, N.2, December, 2013.
  24. Webster, J. and Hackley, P. (1997) 'Teaching Effectiveness in Technology-Mediated Distance Learning', Academy of Management Review, Vol.40, pp. 1282-1309.
  25. Australian Government Report, (2009) 'How organizations are using e-learning to support national training initiatives', [PDF], Department of Education, [Online].
  26. Xhafa, F., Caballe, S., Rustarazo, I. and Barolli, L. (2010) 'Implementing a Mobile Campus Using MLE Moodle', In P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on (pp. 207-214). IEEE.
  27. Ajzen, I. (1985) From Intentions to Actions: A Theory of Planned Behaviour, [PDF], Edited by Khul, J. and Beckmann,J. Springer-Verlag, and Berlin Heidlberg. New York Tokyo.
  28. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478
  29. Ajzen, I. and Fishbein, M. (1980) Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs,NJ: Prentice-Hall, Inc.
  30. Al-Adwan, A., Al-Adwan, A. and Smedley, J. (2013) 'Exploring students acceptance of e-learning using Technology Acceptance Model in Jordanian universities', International Journal of Education and Development using Information and Communication Technology (IJEDICT), Vol. 9, Issue 2, pp. 4-18.
  31. Baxley, B., (2003) Making the Web Work: Designing Effective Web Applications Indianapolis, IN: New Riders Publishing, 2002.
  32. Stein, S. and Harman, B. (2000) 'Distance learning-the global challenge'. In Advanced Learning Technologies, 2000. IWALT 2000. Proceedings. International Workshop on (pp. 197-200). IEEE.
  33. Moodley, S. (2002) 'Inclusive Education: Challenges for Distance Learning, Policy and Practice', Academic Development Centre -Technikon South Africa, Johannesburg.Technologies, vol.4, no.2, pp.162, 174.
  34. Black, P. and Wiliam, D., (1998) 'Inside the Black Box: Raising Standards through Classroom Assessment', Phi Delta Kappan, vol. 80, no. 2, pp. 139-148.
  35. Amelung, M., Krieger, K. and Rosner, D. (2011) 'E-Assessment as a Service', IEEE Transactions on Learning Technologies, vol.4, no.2, pp.162, 174.
  36. Munoz-Merino, P., Kloos, C. and Munoz-Organero, M., (2011) 'Enhancement of Student Learning Through the Use of a Hinting Computer e-Learning System and Comparison With Human Teachers', IEEE Transactions on Education, vol.54, no.1, pp.164,167.
  37. VanLehn, K., Lynch, C., Schulz, L., Shapiro, J. and Shelby, R. (2005) 'Andes physics tutoring system: Five years of evaluations', In Proceedings of the 12th international conference on Artificial Intelligence in Education Amsterdam, The Netherlands, 2005, pp. 678–685.
  38. Guzma, E. and Conejo, R. (2005) 'Self-assessment in a feasible, adaptive Web based testing system', IEEE Transaction on Education, vol. 48, pp. 688–695.
  39. Martin, K. and Arroyo, I. (2004) 'AgentX: Using reinforcement learning to improve the effectiveness of intelligent tutoring systems', Intelligent Tutoring Systems, Lecture Notes in Computer Science, Volume 3220, pp: 564-572.
  40. Edmundson, A. (2007) Globalized E-learning Cultural Challenges, Idea Group Inc (IGI).
  41. Jahanshahi, H., Frahadzareh, B. and Fotuhi, H. (2013) 'A new algorithm for ERP system selection based on fuzzy DEMATEL Approach', Advances in Environmental Biology, Vol.7, No.9, pp. 2509-2521.
Index Terms

Computer Science
Information Sciences


Decision criteria; fuzzy DEMATEL; e-learning selection