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Condition Class Classification Stability in RST due to Continuous Value Discretisation

Beynon, Malcolm James 2004. Condition Class Classification Stability in RST due to Continuous Value Discretisation. Lecture Notes in Computer Science 3066 , pp. 378-383. 10.1007/978-3-540-25929-9_45

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Abstract

Rough Set Theory (RST) is a nascent technique for object classification, where each object in an information system is characterised and classified by a number of condition and decision attributes respectively. A level of continuous value discretisation (CVD) is often employed to reduce the possible large granularity of the information system. This paper considers the effect of CVD on the association between condition and decision classes in RST. Moreover, the stability of the classification of the objects in the condition classes is investigated. Novel measures are introduced to describe the association of objects (condition classes) to the different decision classes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer Verlag
ISSN: 0302-9743
Last Modified: 04 Jun 2017 04:23
URI: http://orca-mwe.cf.ac.uk/id/eprint/37975

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