DocumentCode
3231149
Title
Granular Web Shopping Experts
Author
Gu, Ling ; Zhang, Yan-Qing
Author_Institution
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
fYear
2006
fDate
Dec. 2006
Firstpage
902
Lastpage
904
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 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
Keywords
decision support systems; fuzzy logic; fuzzy reasoning; fuzzy set theory; retail data processing; uncertainty handling; granular Web shopping expert; interval type-2 fuzzy inference system; online e-business application; type-2 fuzzy online decision support system; uncertainty handling; Computer science; Decision support systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Information analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2747-7
Type
conf
DOI
10.1109/WI.2006.88
Filename
4061492
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