Fuzzy set techniques in e-service applications

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dc.contributor.author Lu, J
dc.contributor.author Ruan, D
dc.contributor.author Zhang, G
dc.contributor.editor NA
dc.date.accessioned 2010-05-28T09:38:18Z
dc.date.issued 2008-01
dc.identifier.citation Fuzzy Sets and Their Extensions: Representation, Aggregation and Models--Intelligent Systems from De, 2008, 1, pp. 555 - 569
dc.identifier.isbn 978-3540737223
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.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-540-73723-0_28
dc.title Fuzzy set techniques in e-service applications
dc.type Chapter
dc.parent Fuzzy Sets and Their Extensions: Representation, Aggregation and Models--Intelligent Systems from De
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 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080105 Expert Systems
dc.for 080605 Decision Support and Group Support Systems
dc.personcode 001038
dc.personcode 020014
dc.personcode 100450
dc.percentage 50 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
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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