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dc.contributor.authorKaplan, L.
dc.contributor.authorŞensoy, Murat
dc.contributor.authorde Mel, G.
dc.date.accessioned2016-02-15T07:33:16Z
dc.date.available2016-02-15T07:33:16Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10679/2159
dc.identifier.urihttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916081
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractAgents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - especially in open multiagent systems - where it is not possible to ensure that the sources are honest and their opinions are not misleading. In this paper, we propose a novel approach that exploits consistencies and conflicts between personal observations and shared information to derive trust evidence for information sources. Based on the derived evidence, we describe how opinions from diverse sources can be fused. We have evaluated our approach for trust estimation and opinion fusion using a service selection scenario. Through extensive simulations, we have shown that our approach significantly outperforms the existing trust-based information fusion approaches.
dc.description.sponsorshipU.S. Army Research Laboratory ; U.K. Ministry of Defence
dc.language.isoengen_US
dc.publisherIEEE
dc.relation.ispartofInformation Fusion (FUSION), 2014 17th International Conference on
dc.rightsrestrictedAccess
dc.titleTrust estimation and fusion of uncertain information by exploiting consistencyen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.startpage1
dc.identifier.endpage8
dc.identifier.wosWOS:000363896100112
dc.subject.keywordsMulti-agent systems
dc.subject.keywordsSensor fusion
dc.subject.keywordsTrusted computing
dc.identifier.scopusSCOPUS:2-s2.0-84910624240
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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