Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA

Abstract: The present paper emphasizes on the development of a hierarchical model using Fuzzy Multiple Attribute Decision Making (FMADM) method for the selection of E-learning websites. The working of the model developed in this research mainly consists of three steps: (i) Summarization and identification of selection indexes, (ii) Selection indexes weights calculations using Fuzzy Analytical Hierarchy Process (FAHP) and (iii) Ranking of alternatives by implementing three MADM analytical methods as Complex Proportional Assessment (COPRAS), Visekriterijumsko Kompromisno Rangiranje (VIKOR) and Weighted Distance Based Approximation (WDBA). In order to demonstrate the applicability and utility of the proposed methods, an empirical example related to the selection of E-learning websites that are widely used to learn the ‘C’ Programming Language for the software development is carried out. In addition, the results of these three methods are also compared to analyze the critical aspects of the selection indexes. It strongly shows that the developed FMADM model of this paper could be an efficient and effective assessment tool.

How to cite this paper

 Garg, R & Jain, D. (2017). Fuzzy multi-attribute decision making evaluation of e-learning websites using FAHP, COPRAS, VIKOR, WDBA.Decision Science Letters , 6(4), 351-364.

Refrences

Alias, N., Zakariah, Z., Ismail, N. Z., & Aziz, M. N. A. (2012). E-Learning successful elements for higher learning institution in Malaysia. Procedia-Social and Behavioral Sciences, 67, 484-489.
Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-Learning Theoretical Framework. Journal of Educational Technology & Society, 19(1), 292-307.
Cheawjindakarn, B., Suwannatthachote, P., & Theeraroungchaisri, A. (2013). Critical success factors for online distance learning in higher education: A review of the literature. Creative Education, 3(8), 61.
Covella, G. J., & Olsina Santos, L. A. (2002). Specifying quality characteristics and attributes for E-Learning sites. In IV Workshop de Investigadores en Ciencias de la Computación.
Ehlers, U. D. (2004). Quality in e-learning from a learner's perspective. European Journal of Open, Distance and E-learning, 7(1).
FitzPatrick, T. (2012). Key Success Factors of eLearning in Education: A Professional Development Model to Evaluate and Support eLearning. Online Submission.
Garg, R. K., Gupta, V. K., & Agrawal, V. P. (2007). Quality evaluation of a thermal power plant by graph-theoretical methodology. International journal of power & energy systems, 27(1), 42.
Garg, R. K., Sharma, K., Nagpal, C. K., Garg, R., Garg, R., & Kumar, R. (2013). Ranking of software engineering metrics by fuzzy‐based matrix methodology. Software Testing, Verification and Reliability, 23(2), 149-168.
Gupta, A., Garg, R. K., & Tewari, P. C. (2013). Multi-Criteria Ranking of Inventory Ordering Policies Using Fuzzy Based-Distance Based Approach for Indian Automotive Industry. i-Manager's Journal on Management, 8(1), 41.
Garg, R., Sharma, R., & Sharma, K. (2016). Ranking and selection of commercial off-the-shelf using fuzzy distance based approach. Decision Science Letters, 5(2), 201-210.
Govindasamy, T. (2001). Successful implementation of e-learning: Pedagogical considerations. The Internet and Higher Education, 4(3), 287-299.
Jain, D., Garg, R., Bansal, A., & Saini, K. K. (2016). Selection and ranking of E-learning websites using weighted distance-based approximation. Journal of Computers in Education, 3(2), 193-207.
Jarial, S. K., & Garg, R. K. (2012). Ranking of vendors based on criteria by MCDM-matrix method-a case study for commercial vehicles in an industry. International Journal og Latestest Research in Science and Technoly, 1(4), 337-341.
Le Blanc, A., & Wands, M. (2001). Critical success factors: e-learning solutions cappuccino. The official E-Newsletter of the Change and Learning Practice, 2.
Mosakhani, M., & Jamporazmey, M. (2010, September). Introduce critical success factors (CSFs) of elearning for evaluating e-learning implementation success. In Educational and Information Technology (ICEIT), 2010 International Conference on (Vol. 1, pp. V1-224). IEEE.
Mahanta, D., & Ahmed, M. (2012). E-Learning objectives, methodologies, tools and its limitation. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2, 46-51.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
Ozkan, S., & Koseler, R. (2009, October). Multi-dimensional evaluation of E-learning systems in the higher education context: an empirical investigation of a computer literacy course. In Frontiers in Education Conference, 2009. FIE'09. 39th IEEE (pp. 1-6). IEEE.
Oztekin, A., Delen, D., Turkyilmaz, A., & Zaim, S. (2013). A machine learning-based usability evaluation method for eLearning systems. Decision Support Systems, 56, 63-73.
Öztürk, Z. K. (2014). Using A Multi Criteria Decision Making Approach For Open And Distance Learning System Selection. Anadolu University Journal of Science and Technology– An Applied Sciences And Engineering, 15(1), 1-14.
Plantak Vukovac, D., Kirinic, V., & Klicek, B. (2010). A comparison of usability evaluation methods for e-learning systems. DAAAM International Scientific Book, 271-288.
Pruengkarn, R., Praneetpolgrang, P., & Srivihok, A. (2005, July). An evaluation model for e-learning Websites in Thailand University. In Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on (pp. 161-162). IEEE.
Rao, R. (2012). Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection. International Journal of Industrial Engineering Computations, 3(3), 365-382.
Sela, E., & Sivan, Y. Y. (2009). Enterprise e-learning success factors: An analysis of practitioners’ perspective (with a downturn addendum).Interdisciplinary Journal of E-Learning and Learning Objects, 5(1), 335-343.
Selim, H. M. (2007). Critical success factors for E-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413.
Soong, M. B., Chan, H. C., Chua, B. C., & Loh, K. F. (2001). Critical success factors for on-line course resources. Computers & Education, 36(2), 101-120.
Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill, 1980.
Volery, T., & Lord, D. (2000). Critical success factors in online education. International Journal of Educational Management, 14(5), 216-223.
Xaymoungkhoun, O., Bhuasiri, W., Rho, J. J., Zo, H., & Kim, M. G. (2012). The critical success factors of e-learning in developing countries. Korea, 305, 701.
Yunus, Y., & Salim, J. (2013). E-learning evaluation in Malaysian public sector from the pedagogical perspective: towards e-learning effectiveness. Journal of Theoretical & Applied Information Technology, 51(2).
Zadeh L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Zaman, W., Ghosh, P., Datta, K., & Basu, P. N. (2012). A Framework to Incorporate Quality Aspects for e-Learning System in a Consortium Environment. International Journal of Information and Education Technology, 2(2), 159.
Zavadskas, E. K., Kaklauskas, A., & Sarka, V. (1994). The new method of multi-criteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.