Applying Fuzzy AHP on Product Selection Service in e-Commerce

With the rapid development of internet and e-commerce, more and more consumers spend their time and money on e-stores. However, most of B2C e-stores only provide products´ secifications and online ordering service, the consumers have to spend time on searching and browsing products´ informaiton by themselves without sales clerks´ help. Therefore, recommendation service is getting more and more popular in e-stores, because it can assist consumers shopping on the websites. In this research, we propose a shopping platform with product selection service based on Fuzzy AHP and TOPSIS to help the consumers´ shopping on the e-stores. We have alco conducted an experiment to evaluate our system. The results show that our system can fit to consumers´ demands and be helpful to shopping on the e-stores.