Show simple item record Halliwell, Joe Shen, Qiang 2009-01-05T09:47:14Z 2009-01-05T09:47:14Z 2009-01
dc.identifier.citation Halliwell , J & Shen , Q 2009 , ' Linguistic probabilities: theory and application ' Soft Computing , vol 13 , no. 2 , pp. 169-183 . DOI: 10.1007/s00500-008-0304-1 en
dc.identifier.issn 1433-7479
dc.identifier.other PURE: 98032
dc.identifier.other PURE UUID: 4b7e435d-585d-4e7a-bfdf-3f2bc42bb641
dc.identifier.other dspace: 2160/1816
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 390
dc.identifier.other Scopus: 55549093075
dc.identifier.uri en
dc.description Halliwell, J., Shen, Q. (2009). Linguistic probabilities: theory and application. Soft Computing, 13 (2),169-183. Sponsorship: EPSRC en
dc.description.abstract Over the past two decades a number of different approaches to “fuzzy probabilities” have been presented. The use of the same term masks fundamental differences. This paper surveys these different theories, contrasting and relating them to one another. Problems with these existing approaches are noted and a theory of “linguistic probabilities” is developed, which seeks to retain the underlying insights of existing work whilst remedying its technical defects. It is shown how the axiomatic theory of linguistic probabilities can be used to develop linguistic Bayesian networks which have a wide range of practical applications. To illustrate this a detailed and realistic example in the domain of forensic statistics is presented. en
dc.format.extent 15 en
dc.language.iso eng
dc.relation.ispartof Soft Computing en
dc.rights en
dc.title Linguistic probabilities: theory and application en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en

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