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

journal contribution
posted on 01.02.2004, 00:00 authored by M Beynon, Kate BuchananKate Buchanan, Y C Tang
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.

History

Journal

Expert systems

Volume

21

Issue

1

Pagination

1 - 10

Publisher

Wiley - Blackwell Publishing

Location

Oxford, England

ISSN

0266-4720

eISSN

1468-0394

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal