An integrated fuzzy anp-topsis approach to rank and assess e-commerce web sites

Abstract

With the spread of online shopping worldwide, the assessing of E-commerce web sites quality is indispensable for their sustainability and maintainability in the market. In general, Multiple Criteria Decision Making (MCDM) methods interfere in the evaluation process in order to measure the weight of the most influencing criteria and choose the wanted web site among a great set of shopping web sites. However, the existing evaluation methods for web sites quality do not take into consideration the end-users satisfaction. Some of MCDM methods are combined with fuzzy set theory to reduce subjectivity and uncertainty of complex decisions problems. To this purpose, this paper proposes an approach based on fuzzy Analytic Network Process (fuzzy ANP) and the fuzzy Technique for Order Performance by Similarity to Ideal Solution (fuzzy TOPSIS) methods to rank and assess E-commerce web sites. The proposed approach is applied on a set of shopping web sites in order to detect their strengths and weakness. The ranking results are compared with those generated by the number of visits for a site.