Fuzzy set techniques in e-service applications

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dc.contributor.author Lu Jie en_US
dc.contributor.author Ruan Da en_US
dc.contributor.author Zhang Guangquan en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2010-05-28T09:38:18Z
dc.date.available 2010-05-28T09:38:18Z
dc.date.issued 2008 en_US
dc.identifier 2006010539 en_US
dc.identifier.citation Lu Jie, Ruan Da, and Zhang Guangquan 2008, 'Fuzzy set techniques in e-service applications', in http://dx.doi.org/10.1007/978-3-540-73723-0_28 (ed.), Springer-Verlag, Berlin Heidelberg New York, pp. 555-569. en_US
dc.identifier.issn 978-3540737223 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7864
dc.description.abstract E-services involve various types, delivery systems, advanced information technologies, methodologies and applications of online services that are provided by e-government, e-business, e-commerce, e-market, e-finance, e-learning systems, to name a few. They offer great opportunities and challenges for many areas, such as government, business, commerce, marketing, finance and education. E-service intelligence is a new research field that deals with fundamental roles, social impacts and practical applications of various intelligent technologies on the Internet based e-services. This chapter aims to offer a thorough introduction and systematic overview of the new field e-service intelligence mainly based on fuzzy set related techniques. It covers the state-of-the-art of the research and development in various aspects including both theorems and applications, of e-service intelligence by applying fuzzy set theory. Moreover, it demonstrates how adaptations of existing intelligent technologies benefit from the development of e-service applications in online customer decision, personalised services, web mining, online searching/data retrieval, online pattern recognition/image processing, and web-based e-logistics/planning. en_US
dc.language en_US
dc.publisher Springer-Verlag en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-540-73723-0_28 en_US
dc.title Fuzzy set techniques in e-service applications en_US
dc.parent Fuzzy Sets and Their Extensions: Representation, Aggregation and Models--Intelligent Systems from De en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Berlin Heidelberg New York en_US
dc.identifier.startpage 555 en_US
dc.identifier.endpage 569 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080605 en_US
dc.personcode 001038;020014;100450 en_US
dc.percentage 000050 en_US
dc.classification.name Decision Support and Group Support Systems en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.staffid en_US


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