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dc.date.accessioned2020-01-09T19:13:41Z
dc.date.available2020-01-09T19:13:41Z
dc.date.created2019-01-31T08:24:03Z
dc.date.issued2018
dc.identifier.citationJøsang, Audun Cho, Jin-Hee Chen, Feng . Uncertainty Characteristics of Subjective Opinions. 21st International Conference on Information Fusion (FUSION 2018). 2018 IEEE conference proceedings
dc.identifier.urihttp://hdl.handle.net/10852/72014
dc.description.abstractIn this work, we study different types of uncertainty in subjective opinions based on the internal belief mass distribution and the base rate distribution. Subjective opinions which are used as arguments in subjective logic (SL) expand the traditional belief functions by including base rate distributions. Fundamental uncertainty characteristics of a given opinion depend on its `singularity', `vagueness', `vacuity', `dissonance', `consonance' and `monosonance'. We define those concepts in the formalism of SL and show how these characteristics can be manifested in the three different opinion classes which are binomial, multinomial, and hyper-opinions. We clarify the relationships between the uncertainty characteristics and discuss how they influence decision making in SL.en_US
dc.languageEN
dc.publisherIEEE conference proceedings
dc.titleUncertainty Characteristics of Subjective Opinionsen_US
dc.typeChapteren_US
dc.creator.authorJøsang, Audun
dc.creator.authorCho, Jin-Hee
dc.creator.authorChen, Feng
cristin.unitcode185,15,5,0
cristin.unitnameInstitutt for informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
dc.identifier.cristin1669639
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=21st International Conference on Information Fusion (FUSION 2018)&rft.spage=&rft.date=2018
dc.identifier.pagecount400
dc.identifier.doihttp://dx.doi.org/10.23919/ICIF.2018.8455454
dc.identifier.urnURN:NBN:no-75143
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.source.isbn9780996452762
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/72014/1/JCC2018-FUSION.pdf
dc.type.versionAcceptedVersion
cristin.btitle21st International Conference on Information Fusion (FUSION 2018)


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