A new User Profile Model based on Intuitionistic Fuzzy set for personalized information analysis and sharing

With the fast development of World Wide Wed, Web-based applications and services should allow user to get the right personalized information quickly and effectively. User profile acts a very important role both in Web service personalization and information sharing. In this paper, a new user profile model was proposed to store the characteristics and preferences of person. By using intuitionistic fuzzy set, the intuitionistic fuzzy user profile model (IUM) has ability to handle fuzzy phenomenon and uncertainty information, especially in describing hesitancy degree (HD) of people and comparative analysis. IUM can also be shared on different Web application. The experimental results show that the proposed approach is effectiveness in personalized information analysis, and this research facilitates the personalized information sharing and reuse on the Web application and services.