A new ranking approach for E-commerce websites based on fuzzy TOPSIS algorithm

With the gigantic growth of E-commerce market, websites are becoming more and numerous. Customers spoiled for choice have encountered several problems in choosing not only right products but also website from which they want to purchase desired products. ranking is recognized as a complex multi-criteria decision-making (MCDM) problem. In practice, clients generally difficulty expressing their judgments precise numbers because criteria some- times imprecise sometimes uncertain ambiguous. this context, we propose use fuzzy logic allow express ratings natural language an approach based technique order preference by similarity ideal solution (TOPSIS) ranking. A numerical experimentation was conducted validate effectiveness proposed approach.