Fuzzy systems theory and its applications
Fuzzy systems theory and its applications
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Data Mining for Design and Manufacturing: Methods and Applications
Data Mining for Design and Manufacturing: Methods and Applications
A Fuzzy Rule-Based Agent for Web Retrieval-Filtering
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
IEEE Transactions on Fuzzy Systems
Genetic Granular Neural Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
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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.