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dc.contributor.author Lee, Hyun ko
dc.contributor.author Son, Byung Rak ko
dc.contributor.author Kim, Jung Eun ko
dc.contributor.author Lee, Sang Cheol ko
dc.date.available 2017-07-11T08:05:07Z -
dc.date.created 2017-05-08 -
dc.date.issued 2011 -
dc.identifier.citation 2011 International Conference on Automation and Robotics, ICAR 2011, v.122 LNEE, pp.513 - 520 -
dc.identifier.isbn 9780000000000 -
dc.identifier.issn 1876-1100 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3910 -
dc.description.abstract In intelligent environments, detecting possible errors and completing missing values then deciding about the quality and validity of the sensed data are roles of context reasoning in order to improve the reliability of information. Particularly, learning to associate operations and roles with dynamic contexts is necessary for adapting user needs and making optimal classification to context-aware computing. However, a top-down based inference has difficulty to deal with various kinds of uncertainty such as unknown, ambiguous, imprecise, and erroneous related problems. Since misclassification by high-level classification to choice for learning the role acceptance may lead to wrong decision. Thus, we propose Evidential Fusion Network (EFN) that uses a belief or confidence level of information as a bottom-up based inference. In order to analyze advantage and disadvantage of the proposed EFN, we compare our approach (bottom-up) with decision tree approach (top-down). Finally, we suggest the combination of top-down based analysis and bottom-up based inference as a context reasoning method for obtaining reliable information. © 2011 Springer-Verlag. -
dc.publisher Springer -
dc.title Comparison evidential fusion network with decision tree for reliable contextual information -
dc.type Conference -
dc.identifier.doi 10.1007/978-3-642-25553-3_63 -
dc.identifier.scopusid 2-s2.0-82055186342 -
dc.type.rims CONF -
dc.identifier.citationVolume 122 LNEE -
dc.identifier.citationStartPage 513 -
dc.identifier.citationEndPage 520 -
dc.identifier.citationTitle 2011 International Conference on Automation and Robotics, ICAR 2011 -
dc.type.journalArticle Conference Paper -
dc.identifier.conferencecountry GE -
dc.identifier.conferencelocation Dubai -
dc.contributor.affiliatedAuthor Lee, Hyun -
dc.contributor.affiliatedAuthor Son, Byung Rak -
dc.contributor.affiliatedAuthor Kim, Jung Eun -
dc.contributor.affiliatedAuthor Lee, Sang Cheol -
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Convergence Research Center for Wellness 2. Conference Papers
Convergence Research Center for Future Automotive Technology 2. Conference Papers

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