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

Fingerprint

Fuzzy Rule-based Systems
Knowledge based systems
Fuzzy rules
Fuzzy Rules
Linguistics
Fuzzy Decision Tree
Fuzzy Decision
Decision Rules
Decision trees
Data analysis
Term
Relationships
Interpretation

All Science Journal Classification (ASJC) codes

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

Cite this

@article{ba408d14c63d486195e157a04a3bd3e9,
title = "The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight",
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.",
author = "Beynon, {Malcolm J.} and Buchanan, {Katherine L.} and Yu-Cheng Tang",
year = "2004",
month = "2",
day = "1",
doi = "10.1111/j.1468-0394.2004.00258.x",
language = "English",
volume = "21",
pages = "1--10",
journal = "Expert Systems",
issn = "0266-4720",
publisher = "Wiley-Blackwell",
number = "1",

}

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.; Tang, Yu-Cheng.

In: Expert Systems, Vol. 21, No. 1, 01.02.2004, p. 1-10.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight

AU - Beynon, Malcolm J.

AU - Buchanan, Katherine L.

AU - Tang, Yu-Cheng

PY - 2004/2/1

Y1 - 2004/2/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=1642367794&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1642367794&partnerID=8YFLogxK

U2 - 10.1111/j.1468-0394.2004.00258.x

DO - 10.1111/j.1468-0394.2004.00258.x

M3 - Article

AN - SCOPUS:1642367794

VL - 21

SP - 1

EP - 10

JO - Expert Systems

JF - Expert Systems

SN - 0266-4720

IS - 1

ER -