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.