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.　©　2017　IEEE.