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

Chengpeng Bi; Michael C. Saunders; Bruce A. McPheron

doi:10.1109/CIBCB.2008.4675773

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

Chengpeng Bi, Michael C. Saunders, Bruce A. McPheron

Entomology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
Pages	159-165
Number of pages	7
DOIs	https://doi.org/10.1109/CIBCB.2008.4675773
State	Published - 2008
Event	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 - Sun Valley, ID, United States Duration: Sep 15 2008 → Sep 17 2008

Publication series

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

Other

Other	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
Country/Territory	United States
City	Sun Valley, ID
Period	9/15/08 → 9/17/08

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics
Biomedical Engineering
Health Informatics

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10.1109/CIBCB.2008.4675773

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). Article 4675773 (2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08). https://doi.org/10.1109/CIBCB.2008.4675773

Bi, Chengpeng ; Saunders, Michael C. ; 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 (2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08).

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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 C.} and McPheron, {Bruce A.}",

year = "2008",

doi = "10.1109/CIBCB.2008.4675773",

language = "English (US)",

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series = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08",

pages = "159--165",

booktitle = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08",

note = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 ; Conference date: 15-09-2008 Through 17-09-2008",

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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, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08, 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 C.; McPheron, Bruce A.
2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08. 2008. p. 159-165 4675773 (2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

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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. (2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08). doi: 10.1109/CIBCB.2008.4675773

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

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