E-commerce website evaluation is a complex multiple-criteria decision-making problem because of the interconnectedness and interdependence of multiple criteria. This problem involves vast amounts of uncertainty, imprecision, incompleteness, and contradictory evaluation data. Therefore, this study proposes a multi-criteria e-commerce website quality evaluation model to overcome this problem to select the best websites according to certain criteria. This study proposes a hybrid model that combines Triangular Neutrosophic Number (TNN) with Entropy and the TODIM method. The Triangular Neutrosophic Number is used to address all uncertainty and complex evaluation information. Entropy is used to assign weight to each criterion, and TODIM is used to rank the e commerce website. The case study was conducted through eleven criteria and five international e commerce websites to illustrate the feasibility and effectiveness of the proposed hybrid model. To validate the proposed model, we compare it with other MCDM methods. Furthermore, we check the stability and robustness of the proposed model through sensitivity analysis with two different approaches. Finally, the results of the TNN with the Entropy and TODIM models are analyzed, indicating that the superiority of the proposed model is due to the competence of the acquired results, and the rankings are sufficiently stable.