The application of a fuzzy rule based system in an exposition of the antecedents of sedge warbler song flight

Beynon, Malcolm J., Buchanan, Katherine L. and Tang, Yu-Cheng 2004, The application of a fuzzy rule based system in an exposition of the antecedents of sedge warbler song flight, Expert systems, vol. 21, no. 1, pp. 1-10.

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Title The application of a fuzzy rule based system in an exposition of the antecedents of sedge warbler song flight
Author(s) Beynon, Malcolm J.
Buchanan, Katherine L.
Tang, Yu-Cheng
Journal name Expert systems
Volume number 21
Issue number 1
Start page 1
End page 10
Publisher Wiley - Blackwell Publishing
Place of publication Oxford, England
Publication date 2004-02
ISSN 0266-4720
1468-0394
Keyword(s) classification
fuzzy decision trees
membership functions
sedge warblers
song flight
Summary The utilization of a fuzzy aspect within data analysis attempts to move from a quantitative to a more qualitative investigative environment. As such, this may allow the more non-quantitative researchers results they can use, based on sets of linguistic terms. In this paper an inductive fuzzy decision tree approach is utilized to construct a fuzzy-rule-based system for the first time in a biological setting. The specific biological problem considered attempts to identify the antecedents (conditions in the fuzzy decision rules) which characterize the length of song flight of the male sedge warbler when attempting to attract a mate. Hence, for a non-quantitative investigator the resultant set of fuzzy rules allows an insight into the linguistic interpretation on the relationship between associated characteristics and the respective song flight duration.
Language eng
Field of Research 060399 Evolutionary Biology not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30020128

Document type: Journal Article
Collection: School of Life and Environmental Sciences
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