Experiments of Successful Trading Rate in Multi-attribute Evaluation

The evaluation system in e-commerce plays an important role when buying products. However, hitherto known evaluation systems are problems regarding incomplete and asymmetric information. We propose a new evaluation model and conduct assessment experiments to solve problems in evaluation system. In our proposed model, seller choices any evaluation attributes from trading properties. Then seller is given extra point according to number of evaluation attribute by this model. In assessment experiments, we built a condition before taking the survey of e-commerce. And the experiments indicate the rate of successful trades exercising effect, when number of attribute change. Advantages of our proposed model can reduce incomplete and asymmetric information.