The applied research of grey relational analysis based on entropy weight

As a new form of business, electronic commerce is becoming vital for Chinese economy. Due to the limited available information, the limited accuracy of the information and the limitations of the statistics methods, the traditional research methods are not effective. In this study, in order to provide guidance for the related decision making and research, the method of grey relational analysis (GRA) based on weight entropy is introduced to study the factors that influence the development of electronic commerce. At the same time, the relative degree of incidence is also introduced in this thesis to analyze the factors, and to obtain the factors which are more obvious for the development of electronic commerce. Then the grey similitude degree of incidence is used to further verify the results.