Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/674
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dc.contributor.authorBasheer, G.S.en_US
dc.contributor.authorAhmad, M.S.en_US
dc.contributor.authorTang, A.Y.C.en_US
dc.date.accessioned2017-08-04T07:14:26Z-
dc.date.available2017-08-04T07:14:26Z-
dc.date.issued2015-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937510584&doi=10.1109%2fICIMU.2014.7066635&partnerID=40&md5=3078f59c4f362d91a88d6367f36bef18-
dc.identifier.urihttp://dspace.uniten.edu.my:80/jspui/handle/123456789/674-
dc.description.abstractIn open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent's confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents' opinions because certainty level and importance of trust may not be valuable in all circumstances. © 2014 IEEE.en_US
dc.language.isoenen_US
dc.subjectCertaintyen_US
dc.subjectConfidenceen_US
dc.subjectFuzzy Logicen_US
dc.subjectImportance of Trusten_US
dc.titleA fuzzy framework for modelling confidence in multi-agent systemen_US
dc.typeConference Paperen_US
dc.relation.conference6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Thingsen_US
dc.identifier.doi10.1109/ICIMU.2014.7066635-
dc.identifier.scopus2-s2.0-84937510584-
item.fulltextNo Fulltext-
item.grantfulltextnone-
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