Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1159
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dc.contributorDepartment of Computing-
dc.creatorZhang, YQ-
dc.creatorFan, W-
dc.creatorCao, J-
dc.date.accessioned2014-12-11T08:23:10Z-
dc.date.available2014-12-11T08:23:10Z-
dc.identifier.isbn0-7803-7810-5-
dc.identifier.issn1098-7584-
dc.identifier.urihttp://hdl.handle.net/10397/1159-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectFuzzy logicen_US
dc.subjectFuzzy Web intelligenceen_US
dc.subjectMobile agentsen_US
dc.subjectWireless agentsen_US
dc.subjectWireless fuzzy web intelligenceen_US
dc.titleFuzzy personalized wireless information agentsen_US
dc.typeConference Paperen_US
dcterms.abstractIn this paper, the basic design of the fuzzy personalized wireless information agent for mobile phones is proposed based on wireless fuzzy Web intelligence, wireless mobile computing, Internet computing, intelligent agent technology, Web databases, and personalization. The basic personalized wireless information agent's middleware is implemented by using WAP, WML, Java Servlets and intelligent information agent techniques, Oracle databases, client-server technology and personalized profiles. Typical applications such as personalized search for weather, traffic and others are demonstrated. In addition, Computational Web Intelligence (CWI) techniques can be used to design more intelligent wireless mobile agents to better serve wireless mobile users. In the future, the fuzzy wireless intelligent multi-agent system will have more applications.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the 12th IEEE Conference on Fuzzy Systems: Sunday, 25 May-Wednesday, 28 May 2003, St. Louis, Missouri, USA, p. 1152-1156-
dcterms.issued2003-
dc.identifier.scopus2-s2.0-0037860857-
dc.relation.ispartofbookProceedings of the 12th IEEE Conference on Fuzzy Systems: Sunday, 25 May-Wednesday, 28 May 2003, St. Louis, Missouri, USA-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.identifier.rosgroupidr13364-
dc.description.ros2002-2003 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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