Evaluation of E-commerce website quality using fuzzy multi-criteria decision making approach

Serhat Aydin*, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Achieving an accomplished e-commerce depends on high quality websites which are preferred by prospective customers. Assessing e-commerce website quality can be considered as a multi-criteria decision making problem because of its complex structure including qualitative and quantitative factors. In this study, we propose a new methodology based on fuzzy analytic hierarchy process. The proposed methodology enables multiple decision makers on evaluation and uses triangular fuzzy scale that includes both positive and negative fuzzy numbers. The methodology includes simple mathematical calculations, and it yields triangular fuzzy numbers of alternatives' weights. At the last step, obtained alternatives' weights are ranked by integral values method. In the empirical study, three e-commerce websites, which are the most famous in Turkey, are evaluated by the proposed methodology and fuzzy VIKOR methodology. The results of methodologies are compared.

Original languageEnglish
Pages (from-to)64-70
Number of pages7
JournalIAENG International Journal of Computer Science
Volume39
Issue number1
Publication statusPublished - 27 Feb 2012

Keywords

  • AHP
  • Decision making
  • Fuzzy set theory
  • Multi-criteria decision making
  • VIKOR
  • Website quality

Fingerprint

Dive into the research topics of 'Evaluation of E-commerce website quality using fuzzy multi-criteria decision making approach'. Together they form a unique fingerprint.

Cite this