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Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model

Beynon, Malcolm James 2002. Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model. Presented at: Third International Conference on Rough Sets and Current Trends in Computing (RSCTC2002), Malvern, PA, USA, 14-16 October 2002. Published in: Alpigini, J. J., Peters, J. F., Skowron, A. and Zhong, N. eds. Rough Sets and Current Trends in Computing: Third International Conference on Rough Sets and Current Trends in Computing, RSCTC2002, Malvern, PA, USA, October 14-16, 2002. Proceedings. Lecture Notes in Computer Science , vol. 2475. Berlin: Springer, pp. 61-68. 10.1007/3-540-45813-1_8

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Abstract

The extended variable precision rough sets model incorporating asymmetric bounds is a generalisation of the original rough set theory. This paper introduces the (l, u)-quality graph, which elucidates the associated level of quality of classification (QoC), based on the choice of l and u values. A number of summary measures and lines are defined which pass over the domain of the (l, u)-quality graph. The defined lines are used to identify a choice of l and u values, based on retaining the underlying level of QoC from the whole (l, u)-quality graph.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Publisher: Springer
ISBN: 9783540442745
Related URLs:
Last Modified: 04 Jun 2017 04:20
URI: http://orca-mwe.cf.ac.uk/id/eprint/37034

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