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

Malcolm J. Beynon, Katherine L. Buchanan, Yu-Cheng Tang

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalExpert Systems
Volume21
Issue number1
DOIs
Publication statusPublished - 2004 Feb 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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