A Fuzzy Linguistic Decision Support System to Aid Users in E-Commerce Activities

摘要

With the recent spreading of social networks and digital communities, the Web has a new business model for providing free content-sharing services. Using the power of the masses and the collective intelligence, Web 2.0 sites have created enormous e-commerce opportunities for marketing and advertising. Thus, there is still a necessity of developing tools to help users to reach good decisions in such frameworks. We propose to manage this collective intelligence with a Decision Support System (DSS). It allows that users with similar user profiles that the potential customer can advice him/her according with their own experiences in their e-commerce activities. From user preferences the DSS obtains a collective advice that helps customers to make decisions related with their e-commerce activities.