A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry

Ai Cheo Yeo; Kate Amanda Smith; Robert J Willis; Malcolm Brooks

A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry

Ai Cheo Yeo, Kate Amanda Smith, Robert J Willis, Malcolm Brooks

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

Original language	English
Title of host publication	Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition
Editors	Leon Reznik, Vladik Kreinovich
Place of Publication	Berlin Germany
Publisher	Springer-Verlag London Ltd.
Pages	249 - 261
Number of pages	13
ISBN (Print)	3540002464
Publication status	Published - 2003

Cite this

Yeo, A. C., Smith, K. A., Willis, R. J., & Brooks, M. (2003). A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. In L. Reznik, & V. Kreinovich (Eds.), Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition (pp. 249 - 261). Springer-Verlag London Ltd..

Yeo, Ai Cheo ; Smith, Kate Amanda ; Willis, Robert J et al. / A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition. editor / Leon Reznik ; Vladik Kreinovich. Berlin Germany : Springer-Verlag London Ltd., 2003. pp. 249 - 261

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year = "2003",

language = "English",

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Yeo, AC, Smith, KA, Willis, RJ & Brooks, M 2003, A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. in L Reznik & V Kreinovich (eds), Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition. Springer-Verlag London Ltd., Berlin Germany, pp. 249 - 261.

A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. / Yeo, Ai Cheo; Smith, Kate Amanda; Willis, Robert J et al.

Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition. ed. / Leon Reznik; Vladik Kreinovich. Berlin Germany : Springer-Verlag London Ltd., 2003. p. 249 - 261.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

TY - CHAP

T1 - A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry

AU - Yeo, Ai Cheo

AU - Smith, Kate Amanda

AU - Willis, Robert J

AU - Brooks, Malcolm

PY - 2003

Y1 - 2003

M3 - Chapter (Book)

SN - 3540002464

SP - 249

EP - 261

BT - Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition

A2 - Reznik, Leon

A2 - Kreinovich, Vladik

PB - Springer-Verlag London Ltd.

CY - Berlin Germany

ER -

Yeo AC, Smith KA, Willis RJ, Brooks M. A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. In Reznik L, Kreinovich V, editors, Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition. Berlin Germany: Springer-Verlag London Ltd. 2003. p. 249 - 261