Type of Document Master's Thesis Author Gu, Ling Author's Email Address lgu1@student.gsu.edu URN etd-11142005-093038 Title Web Shopping Expert Systems Using New Interval Type-2 Fuzzy Reasoning Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Yanqing Zhang Committee Chair Raj Sunderraman Committee Member Ying Zhu Committee Member Keywords
- Type reduce
- Type-2 fuzzy logic sets
- Decision support system
- Fuzzy Logic
Date of Defense 2005-11-21 Availability unrestricted Abstract Finding a product with high quality and reasonable price online is a difficult task due to the fuzzy nature of data and queries. In order to handle the fuzzy problem, a new type-2 fuzzy reasoning based decision support system, the Web Shopping Expert for online users is proposed. In the Web Shopping Expert, an interval type-2 fuzzy logic system is used and a fuzzy output can be obtained using the up-low limit technique, which offers an opportunity to directly employ all the rules and methods of the type-1 fuzzy sets onto the type-2 fuzzy sets. To achieve the best performance the fuzzy inference system is optimized by the least square and numerical method. The key advantages of the least square method are the efficient use of samples and the simplicity of the implementation. The Web Shopping Expert based on the interval type-2 fuzzy inference system provides more reasonable conclusions for online users.Files
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