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Number of items: 7.

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X and Griffiths, Benjamin 2010. An exposition of feature selection and variable precision rough set analysis: application to financial data. Anbumani, K. and Nedunchezhian, R., eds. Soft Computing Applications for Database Technologies: Techniques and Issues, Hershey, PA.: IGI Global, pp. 193-213.

Griffiths, Benjamin 2008. Information veins and re-sampling with rough set theory. Wang, John, ed. Encyclopaedia of data warehousing and mining, Hershey, PA: IGI Global, pp. 1034-1040. (10.4018/978-1-60566-010-3.ch160)

Griffiths, Benjamin and Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X 2008. Re-sampling based Data Mining using Rough Set Theory. Wang, John, ed. Data Mining and Warehousing: Concepts, Methodologies, Tools and Applications, Hershey, PA: IGI Global, pp. 3005-3026. (10.4018/978-1-59904-951-9.ch192)

Griffiths, Benjamin 2008. Variable precision rough set theory decision support system: With an application to bank rating prediction. PhD Thesis, Cardiff University.
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Griffiths, Benjamin and Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X 2005. Expositing stages of VPRS analysis in an expert system: Application with bank credit ratings. Expert Systems with Applications 29 (4) , pp. 879-888. 10.1016/j.eswa.2005.06.008

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X and Griffiths, Benjamin 2004. An Expert System for the Utilisation of the Variable Precision Rough Sets Model. Lecture Notes in Computer Science 3066 , pp. 714-720. 10.1007/978-3-540-25929-9_90

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X, Griffiths, Benjamin and Marshall, David 2002. A prototype store choice and location modelling system using Dempster-Shafer theory. Expert Systems 19 (5) , pp. 273-284. 10.1111/1468-0394.00214

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