Evaluation of E-Commerce Website Functionality Using a Mamdani Fuzzy System


  • L. Al-Qaisi The World Islamic Sciences & Education University, Amman, Jordan
  • A. Mesleh Computer Engineering Department, Al-Balqa Applied University, Amman, Jordan
  • A. Al-Qaisi Communication Technology Engineering Department, Al-Balqa Applied University, Amman, Jordan
  • A. Sharadqh Computer Engineering Department, Al-Balqa Applied University, Amman, Jordan
  • B. Zahran Department of Computer Engineering, Al-Balqa Applied University, Jordan
  • J. Alkasassbeh Electrical Engineering Department, Al-Balqa Applied University, Amman, Jordan
  • M. Olaimat Communication Technology Engineering Department, Al-Balqa Applied University, Amman, Jordan
Volume: 5 | Issue: 5 | Pages: 860-863 | October 2015 | https://doi.org/10.48084/etasr.594


The majority of leader companies are running their businesses using online E-commerce websites. These E-commerce websites are becoming significant revenue drivers and major retailers. Hence, it is critical to evaluate the functionality of these websites which are expected to support growing business needs. The evaluation of the functionality of E-commerce websites is not a straightforward process due to the many constraints and standards that should be considered. Fuzzy logic is a powerful technique used in modeling impreciseness and uncertainties. This paper proposes a Mamdani fuzzy system that evaluates the functionality of E-commerce websites over different parameters: accuracy, flexibility, client support, and availability of product information. Experimental results provide positive relations between accuracy and flexibility on the functionality of E-commerce websites.


E-commerce websites, Mamdani Fuzzy system, Websites functionality


Download data is not yet available.


S. Mariotti, F. Sgobbi, “Alternative paths for the growth of e-commerce”, Futures, Vol. 33, No. 2, pp. 109-125, 2001 DOI: https://doi.org/10.1016/S0016-3287(00)00058-6

C. Chan, P. Swatman, “Management and business issues for B2B eCommerce implementation”, 35th Hawaii International Conference on System Sciences, pp. 3083-3093, Big Island, Hawaii, January 7-10, 2002

B. Hernández, J. Jiménez, M. José Martín, “Key website factors in e-business strategy”, International Journal of Information Management, Vol. 29, No. 5, pp. 362-371, 2009 DOI: https://doi.org/10.1016/j.ijinfomgt.2008.12.006

L. Mich, M. Franch, L. Gaio, “Evaluating and Designing Web Site Quality”, IEEE Multimedia, Vol. 10, No. 1, pp. 34-43, 2003 DOI: https://doi.org/10.1109/MMUL.2003.1167920

D. Sui, D. Rejeski, “Environmental impacts of the emerging digital economy: the e-for-environment e-commerce?”, Environmental Management, Vol. 29, No. 2, pp. 155-163, 2002 DOI: https://doi.org/10.1007/s00267-001-0027-X

N. Griffiths, K. Chao, M. Younas, “Fuzzy Trust for Peer-to-Peer Systems”, 26th IEEE International Conference on Distributed Computing Systems Workshops, Lisboa, Portugal, July 04-07, 2006 DOI: https://doi.org/10.1109/ICDCSW.2006.57

X. Xiu-yan, “A Fuzzy Cluster Model for Evaluating E- commerce Trust”, 4th International Conference on Management of e-Commerce and e-Government, pp. 60-64, Chengdu, China, October 23-24, 2010 DOI: https://doi.org/10.1109/ICMeCG.2010.21

O. Signore, “A comprehensive model for web sites quality”, 7th IEEE International Symposium on Web Site Evolution, pp. 30-36, Budapest, Hungary, September 26, 2005

F. Akhter, D. Hobbs, Z. Maamar, “A fuzzy logic-based system for assessing the level of business-to-consumer (B2C) trust in electronic commerce”, Expert Systems with Applications, Vol. 28, No. 4, pp. 623-628, 2005 DOI: https://doi.org/10.1016/j.eswa.2004.12.039

J. Zhang, X. Guo, “Trust Evaluation Model Based on Fuzzy Logic for C2C E-Commerce”, 1st International Symposium on Information Engineering and Electronic Commerce, pp. 403-407, Ternopil, Ukraine, May 16-17, 2009 DOI: https://doi.org/10.1109/IEEC.2009.90

M. Nilashi, K. Bagherifard, O. Ibrahim, N. Janahmdi, M. Barisami, “An Application Expert System for Evaluating Effective Factors on Trust in B2C Websites”, Engineering, Vol. 3, No. 11, pp. 1063-1071, 2011 DOI: https://doi.org/10.4236/eng.2011.311132

H. Liu., S. Zhang, S. Zhang, “Fuzzy Expert System Based Intelligent Website Assessment System”, IEEE 10th International Conference on Computer and Information Technology (CIT 2010), pp. 432-437, Bradford, United Kingdom, June 29-July 1, 2010 DOI: https://doi.org/10.1109/CIT.2010.100

F. Kong, H. Liu, “Applying fuzzy analytic hierarchy process to evaluate success factors of e-commerce” , International Journal of Information and Systems Sciences, Vol. 1, No. 3-4, pp. 406-412, 2005

A. Albuquerque, A. Belchior, “E-Commerce Website Quality Evaluation”, 28th Euromicro Conference, pp. 294–300, Dortmund, germany, September 4-6, 2002

S. Cebi, “A quality evaluation model for the design quality of online shopping websites”, Electronic Commerce Research and Applications, Vol. 12, No. 2, pp. 124-135, 2013 DOI: https://doi.org/10.1016/j.elerap.2012.12.001

H. Singh, M. Gupta, T. Meitzler, Z. Hou, K. Garg, A. Solo, L. Zadeh, “Real-Life Applications of Fuzzy Logic”, Advances in Fuzzy Systems, Vol. 2013, Article ID 581879, 2013 DOI: https://doi.org/10.1155/2013/581879

G. Klir, B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, 1995

L. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, No. 3, pp. 338-353, 1965 DOI: https://doi.org/10.1016/S0019-9958(65)90241-X

L. Zadeh, “Is there a need for fuzzy logic?”, Information Sciences, Vol. 3, No. 3, pp. 2751-2779, 2008 DOI: https://doi.org/10.1016/j.ins.2008.02.012


How to Cite

L. Al-Qaisi, “Evaluation of E-Commerce Website Functionality Using a Mamdani Fuzzy System”, Eng. Technol. Appl. Sci. Res., vol. 5, no. 5, pp. 860–863, Oct. 2015.


Abstract Views: 843
PDF Downloads: 389

Metrics Information
Bookmark and Share

Most read articles by the same author(s)