An illustration of variable precision rough set theory : The gender classification of the European barn swallow (Hirundo rustica)

Beynon, M.J. and Buchanan, K.L. 2003, An illustration of variable precision rough set theory : The gender classification of the European barn swallow (Hirundo rustica), Bulletin of mathematical biology, vol. 65, no. 5, pp. 835-858.

Attached Files
Name Description MIMEType Size Downloads

Title An illustration of variable precision rough set theory : The gender classification of the European barn swallow (Hirundo rustica)
Formatted title An illustration of variable precision rough set theory : The gender classification of the European barn swallow (Hirundo rustica)
Author(s) Beynon, M.J.
Buchanan, K.L.
Journal name Bulletin of mathematical biology
Volume number 65
Issue number 5
Start page 835
End page 858
Publisher Springer New York LLC
Place of publication New York, N.Y.
Publication date 2003-09
ISSN 0092-8240
1522-9602
Summary This paper introduces a new technique in the investigation of object classification and illustrates the potential use of this technique for the analysis of a range of biological data, using avian morphometric data as an example. The nascent variable precision rough sets (VPRS) model is introduced and compared with the decision tree method ID3 (through a ‘leave n out’ approach), using the same dataset of morphometric measures of European barn swallows (Hirundo rustica) and assessing the accuracy of gender classification based on these measures. The results demonstrate that the VPRS model, allied with the use of a modern method of discretization of data, is comparable with the more traditional non-parametric ID3 decision tree method. We show that, particularly in small samples, the VPRS model can improve classification and to a lesser extent prediction aspects over ID3. Furthermore, through the ‘leave n out’ approach, some indication can be produced of the relative importance of the different morphometric measures used in this problem. In this case we suggest that VPRS has advantages over ID3, as it intelligently uses more of the morphometric data available for the data classification, whilst placing less emphasis on variables with low reliability. In biological terms, the results suggest that the gender of swallows can be determined with reasonable accuracy from morphometric data and highlight the most important variables in this process. We suggest that both analysis techniques are potentially useful for the analysis of a range of different types of biological datasets, and that VPRS in particular has potential for application to a range of biological circumstances.
Language eng
Field of Research 060399 Evolutionary Biology not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, Society for Mathematical Biology
Persistent URL http://hdl.handle.net/10536/DRO/DU:30020126

Document type: Journal Article
Collection: School of Life and Environmental Sciences
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 6 times in TR Web of Science
Scopus Citation Count Cited 8 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 423 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 30 Sep 2009, 13:24:39 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.