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Granular Web Shopping Experts
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.882006 IEEE/WIC/ACM International Confe ...
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Ling Gu, Georgia State University, USA
Yan-Qing Zhang, Georgia State University, USA
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 granular Web Shopping Expert, a new type-2 fuzzy online decision support system, is proposed. The Web Shopping Expert based on the interval type-2 fuzzy inference system provides reasonable granular decisions for online users. This general framework can be used in other online e- Business applications.
Citation:
Ling Gu, Yan-Qing Zhang, "Granular Web Shopping Experts," wi, pp.902-904, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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