Abstract
Finding a product with high quality and reasonable price online is a difficult task due to uncertainty of Web data and queries. In order to handle the uncertainty problem, the Web Shopping Expert, a new type-2 fuzzy online decision support system, is proposed. In the Web Shopping Expert, a fast interval type-2 fuzzy method is used to directly use all rules with type-1 fuzzy sets to perform type-2 fuzzy reasoning efficiently. The parameters of type-2 fuzzy sets are optimized by a least square method. The Web Shopping Expert based on the interval type-2 fuzzy inference system provides reasonable decisions for online users.
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Gu, L., Zhang, Y.Q. Web shopping expert using new interval type-2 fuzzy reasoning. Soft Comput 11, 741–751 (2007). https://doi.org/10.1007/s00500-006-0117-z
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DOI: https://doi.org/10.1007/s00500-006-0117-z