Linguistic probabilities: theory and application

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Linguistic probabilities: theory and application. / Halliwell, Joe; Shen, Qiang.

In: Soft Computing, Vol. 13, No. 2, 01.2009, p. 169-183.

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Halliwell, J & Shen, Q 2009, 'Linguistic probabilities: theory and application', Soft Computing, vol. 13, no. 2, pp. 169-183. https://doi.org/10.1007/s00500-008-0304-1

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Halliwell, Joe ; Shen, Qiang. / Linguistic probabilities: theory and application. In: Soft Computing. 2009 ; Vol. 13, No. 2. pp. 169-183.

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@article{4b7e435d585d4e7abfdf3f2bc42bb641,
title = "Linguistic probabilities: theory and application",
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.",
author = "Joe Halliwell and Qiang Shen",
note = "Halliwell, J., Shen, Q. (2009). Linguistic probabilities: theory and application. Soft Computing, 13 (2),169-183. Sponsorship: EPSRC",
year = "2009",
month = jan,
doi = "10.1007/s00500-008-0304-1",
language = "English",
volume = "13",
pages = "169--183",
journal = "Soft Computing",
issn = "1432-7643",
publisher = "Springer Nature",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Linguistic probabilities: theory and application

AU - Halliwell, Joe

AU - Shen, Qiang

N1 - Halliwell, J., Shen, Q. (2009). Linguistic probabilities: theory and application. Soft Computing, 13 (2),169-183. Sponsorship: EPSRC

PY - 2009/1

Y1 - 2009/1

N2 - 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.

AB - 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.

U2 - 10.1007/s00500-008-0304-1

DO - 10.1007/s00500-008-0304-1

M3 - Article

VL - 13

SP - 169

EP - 183

JO - Soft Computing

JF - Soft Computing

SN - 1432-7643

IS - 2

ER -

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