Linguistic probabilities: theory and application

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 .	en
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