Abstract
We are in an era with information overload. It becomes more and more difficult for us to analyze the fast-changing information and make decision upon the analyses. The web information agent appears to give us an easy way. In general, intelligent Web agents based on the CWI (Computational Web Intelligence) techniques can help a better e-Business [15]. CWI is a hybrid technology of Computational Intelligence (CI) and Web Technology (WT) dedicating to increasing QoI (Quality of Intelligence) of e-Business applications on the Internet and wireless networks [15]. Fuzzy computing, neural computing, evolutionary computing, probabilistic computing, granular computing, rough computing, WT, data mining, personalization and intelligent agent technology are major techniques of CWI. Currently, seven major research areas of CWI are (1) Fuzzy WI (FWI), (2) Neural WI (NWI), (3) Evolutionary WI (EWI), (4) Probabilistic WI (PWI), (5) Granular WI (GWI), (6) Rough WI (RWI), and (7) Hybrid WI (HWI). In the future, more CWI research areas will be added. Here, FWI techniques are mainly used in the fuzzy Web information classification agent.
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Wang, Y., Zhang, YQ. (2004). Fuzzy Web Information Classification Agents. In: Loia, V., Nikravesh, M., Zadeh, L.A. (eds) Fuzzy Logic and the Internet. Studies in Fuzziness and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39988-9_14
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DOI: https://doi.org/10.1007/978-3-540-39988-9_14
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