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

Beynon, Malcolm James, 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 21 (1) , pp. 1-10. 10.1111/j.1468-0394.2004.00258.x

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Abstract

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Business (Including Economics)
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics
Uncontrolled Keywords: classification; fuzzy decision trees; membership functions; sedge warblers; song flight
Publisher: Wiley-Blackwell
ISSN: 1468-0394
Last Modified: 10 Mar 2020 14:35
URI: http://orca-mwe.cf.ac.uk/id/eprint/37939

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