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dc.contributor.authorHussain, Omar
dc.contributor.authorChang, Elizabeth
dc.contributor.authorHussain, Farookh
dc.contributor.authorDillon, Tharam S.
dc.date.accessioned2017-01-30T12:15:46Z
dc.date.available2017-01-30T12:15:46Z
dc.date.created2008-11-12T23:32:50Z
dc.date.issued2007
dc.identifier.citationHussain, Omar and Chang, Elizabeth and Hussain, Farookh Khadeer and Dillon, Tharam S. 2007. : Determining the loss of investment probability for risk based decision support system, Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on, 11-13 Jul 2007, pp. 1129-1134. Melbourne, Australia: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19791
dc.identifier.doi10.1109/ICIS.2007.90
dc.description.abstract

In a financial digital business ecosystem, the trusting agent can analyse the possible risk in interacting with a probable trusted agent beforehand enabling a better decision regarding the future course of interaction. Another factor that would help the trusting agent in determining whether to interact with a probable trusted agent or not, is to determine the probability of it not achieving the full benefit of its invested resources. In this paper, we propose a methodology by which the trusting agent can determine the loss of its resource benefit in interacting with a probable trusted agent before proceeding.

dc.publisherIEEE
dc.titleDetermining the loss of investment probability for risk based decision support system
dc.typeConference Paper
dcterms.source.startPage1129
dcterms.source.endPage1134
dcterms.source.conferenceComputer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
dcterms.source.conference-start-date11-13 Jul 2007
dcterms.source.conferencelocationMelbourne, Australia
curtin.note

Copyright 2007 IEEE

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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2544
curtin.accessStatusOpen access


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