Title :
Type-2 Fuzzy Web Shopping Agents
Author :
Tang, Menglei ; Zhang, Yan-Qing ; Zhang, Gang
Author_Institution :
Georgia State University, Atlanta
Abstract :
In this paper, we create an online shopping system "hotstore.com" using type-2 fuzzy reasoning. The type-2 fuzzy logic agent has 5 components: fuzzifier, fuzzy rule, fuzzy inference, type reducer and defuzzifier. The antecendent and consequent in the fuzzy rule use type-2 fuzzy sets and the type reducer is used to map a type-2 fuzzy set into a type-1 fuzzy set. All the merchandise information is stored in the database. Based on the merchandise shopping history, a manager can rate the merchandise data using type-2 fuzzy data mining technology. Implementation techniques include ASP.NET + SQL 2000 + IIS 2000, VB, ASP.NET, HTML, and CSS.
Keywords :
Cascading style sheets; Data mining; Databases; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; HTML; History; Merchandise; Technology management;
Conference_Titel :
Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2100-2
DOI :
10.1109/WI.2004.10093
