What does fuzzy logic bring to AI?
ACM Computing Surveys (CSUR)
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Commonsense reasoning based on fuzzy logic
WSC '86 Proceedings of the 18th conference on Winter simulation
Compensatory Genetic Fuzzy Neural Networks and Their Applications
Compensatory Genetic Fuzzy Neural Networks and Their Applications
Computational Web Intelligence: Intelligent Technology for Web Applications
Computational Web Intelligence: Intelligent Technology for Web Applications
Mamdani fuzzy logic controller with mobile agents for matching
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
A fuzzy controller with various T-norms applied in robot navigation
WSEAS Transactions on Systems and Control
Intuitionistic fuzzy system for fingerprints authentication
Applied Soft Computing
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In this paper, we propose an Interactive Fuzzy Interval Reasoning (FIR) method by combining fuzzy logic with interval computing to better serve Web users in terms of effectiveness and flexibility. Web users may use convenient interval inputs for online shopping. In order to serve different customers based on their preferences, different personalized fuzzy partitions to meet different needs are provided for the different Web customers. The Interactive Fuzzy Interval Reasoning method is used to design the Web shopping agent. Java servlets and Microsoft Access are used to implement the fuzzy Web shopping system.