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dc.contributor.author Halliwell, Joe
dc.contributor.author Shen, Qiang
dc.date.accessioned 2009-01-05T09:47:14Z
dc.date.available 2009-01-05T09:47:14Z
dc.date.issued 2009-01
dc.identifier.citation Halliwell , J & Shen , Q 2009 , ' Linguistic probabilities: theory and application ' Soft Computing , vol 13 , no. 2 , pp. 169-183 . , 10.1007/s00500-008-0304-1 en
dc.identifier.issn 1433-7479
dc.identifier.other PURE: 98032
dc.identifier.other dspace: 2160/1816
dc.identifier.uri http://hdl.handle.net/2160/1816
dc.identifier.uri http://www.springerlink.com/content/04182421824v017w/?p=e9cba618792548baaef21193b6ee5f16&pi=8 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.title Linguistic probabilities: theory and application en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1007/s00500-008-0304-1
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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