DocumentCode :
2286591
Title :
A new User Profile Model based on Intuitionistic Fuzzy set for personalized information analysis and sharing
Author :
Mu, Xiang-Wei ; Chen, Yan ; Qu, Li-Li ; Li, Tao-Ying
Author_Institution :
Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
64
Lastpage :
69
Abstract :
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.
Keywords :
Web services; fuzzy systems; information analysis; personal computing; Web service personalization; World Wide Wed; hesitancy degree; intuitionistic fuzzy set; intuitionistic fuzzy user profile model; personalized information analysis; personalized information sharing; Conference management; Educational institutions; Engineering management; Fuzzy set theory; Fuzzy sets; High definition video; Information analysis; Transportation; Uncertainty; Web services; hesitancy degree; information sharing; intuitionistic fuzzy sets; personalized information; user profile model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3970-6
Electronic_ISBN :
978-1-4244-3971-3
Type :
conf
DOI :
10.1109/ICMSE.2009.5317558
Filename :
5317558
Link To Document :
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