Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures

Chengpeng Bi, Michael Craig Saunders, Bruce A. McPheron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we applied a neuro-fuzzy system to classify the morphologically indistinguishable Rhagoletis pomonella sibling species group. A carefully selected set of wing structure and shape variables were fuzzified using triangular membership functions. The neuro-fuzzy system NEFCLASS was applied to train the fly morphological datasets and a set of fuzzy rules were constructed. A fuzzy inference engine was constructed using the fuzzy rule bases. Furthermore, manually pruned fuzzy rules were employed to make a fuzzy key to classify this sibling species group.

Original languageEnglish (US)
Title of host publication2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
Pages159-165
Number of pages7
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 - Sun Valley, ID, United States
Duration: Sep 15 2008Sep 17 2008

Other

Other2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
CountryUnited States
CitySun Valley, ID
Period9/15/089/17/08

Fingerprint

Tephritidae
Fuzzy rules
Diptera
Fuzzy systems
Inference engines
Fuzzy inference
Membership functions
Datasets

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Health Informatics

Cite this

Bi, C., Saunders, M. C., & McPheron, B. A. (2008). Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. In 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 (pp. 159-165). [4675773] https://doi.org/10.1109/CIBCB.2008.4675773
Bi, Chengpeng ; Saunders, Michael Craig ; McPheron, Bruce A. / Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08. 2008. pp. 159-165
@inproceedings{2386bb08bc7248798d894b0fa0a9731b,
title = "Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures",
abstract = "In this paper, we applied a neuro-fuzzy system to classify the morphologically indistinguishable Rhagoletis pomonella sibling species group. A carefully selected set of wing structure and shape variables were fuzzified using triangular membership functions. The neuro-fuzzy system NEFCLASS was applied to train the fly morphological datasets and a set of fuzzy rules were constructed. A fuzzy inference engine was constructed using the fuzzy rule bases. Furthermore, manually pruned fuzzy rules were employed to make a fuzzy key to classify this sibling species group.",
author = "Chengpeng Bi and Saunders, {Michael Craig} and McPheron, {Bruce A.}",
year = "2008",
month = "12",
day = "1",
doi = "10.1109/CIBCB.2008.4675773",
language = "English (US)",
isbn = "9781424417780",
pages = "159--165",
booktitle = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08",

}

Bi, C, Saunders, MC & McPheron, BA 2008, Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. in 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08., 4675773, pp. 159-165, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08, Sun Valley, ID, United States, 9/15/08. https://doi.org/10.1109/CIBCB.2008.4675773

Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. / Bi, Chengpeng; Saunders, Michael Craig; McPheron, Bruce A.

2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08. 2008. p. 159-165 4675773.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures

AU - Bi, Chengpeng

AU - Saunders, Michael Craig

AU - McPheron, Bruce A.

PY - 2008/12/1

Y1 - 2008/12/1

N2 - In this paper, we applied a neuro-fuzzy system to classify the morphologically indistinguishable Rhagoletis pomonella sibling species group. A carefully selected set of wing structure and shape variables were fuzzified using triangular membership functions. The neuro-fuzzy system NEFCLASS was applied to train the fly morphological datasets and a set of fuzzy rules were constructed. A fuzzy inference engine was constructed using the fuzzy rule bases. Furthermore, manually pruned fuzzy rules were employed to make a fuzzy key to classify this sibling species group.

AB - In this paper, we applied a neuro-fuzzy system to classify the morphologically indistinguishable Rhagoletis pomonella sibling species group. A carefully selected set of wing structure and shape variables were fuzzified using triangular membership functions. The neuro-fuzzy system NEFCLASS was applied to train the fly morphological datasets and a set of fuzzy rules were constructed. A fuzzy inference engine was constructed using the fuzzy rule bases. Furthermore, manually pruned fuzzy rules were employed to make a fuzzy key to classify this sibling species group.

UR - http://www.scopus.com/inward/record.url?scp=77950958746&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950958746&partnerID=8YFLogxK

U2 - 10.1109/CIBCB.2008.4675773

DO - 10.1109/CIBCB.2008.4675773

M3 - Conference contribution

SN - 9781424417780

SP - 159

EP - 165

BT - 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08

ER -

Bi C, Saunders MC, McPheron BA. Neuro-fuzzy classification of the rhagoletis pomonella species group using digitized wing structures. In 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08. 2008. p. 159-165. 4675773 https://doi.org/10.1109/CIBCB.2008.4675773