Type-2 Fuzzy Web Shopping Agents
Menglei Tang, Yanqing Zhang, Gang Zhang · Web Intelligence · 2004
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.