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A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems

Shinji Fukuda, Jun Nakajima, Bernard De Baets UGent, Willem Waegeman UGent, Takahiko Mukai, Ans Mouton UGent and Norio Orikura (2011) Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011). p.81-86
abstract
The relationship among accuracy, interpretability, and complexity of genetic fuzzy systems (GFSs) is a hot topic and is actively studied in the GFS domain. Because different problems have different views of interpretation, it is quite difficult to evaluate the interpretability of GFSs in general. The present study aims to analyze accuracy-complexity relationship in fish habitat modelling using a genetic Takagi-Sugeno fuzzy model called fuzzy habitat preference model (FHPM). The model complexity was defined by bit lengths of a genetic algorithm (GA) assigned to the consequent part of the model, while fuzzy rules and antecedent parts were kept the same. FHPM was developed on the basis of the mean squared errors between the composite habitat preference and the observed presence-absence of fish. The model accuracy was evaluated using multiple performance measures. As a result, the different model complexities resulted in slightly different habitat preference curves and model accuracies. At some complexities, the model accuracy was found to be slightly improved with increased model complexity. The result suggests that an optimal point exists where the model complexity can take a balance between the accuracy and the complexity of the target models, which depends partly on data characteristics and model formulations of the GFSs.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
aquaculture, ecology, fuzzy set theory, genetic algorithms, mean square error methods
in
Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011)
pages
81 - 86
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
2011 IEEE 5th International workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011)
conference location
Paris, France
conference start
2011-04-11
conference end
2011-04-15
Web of Science type
Conference Paper
Web of Science id
12109543
ISBN
9781612840482
9781612840499
9781612840505
DOI
10.1109/GEFS.2011.5949490
project
Bioinformatics: from nucleotids to networks (N2N)
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2037414
handle
http://hdl.handle.net/1854/LU-2037414
date created
2012-02-17 14:41:41
date last changed
2013-02-27 09:11:34
@inproceedings{2037414,
  abstract     = {The relationship among accuracy, interpretability, and complexity of genetic fuzzy systems (GFSs) is a hot topic and is actively studied in the GFS domain. Because different problems have different views of interpretation, it is quite difficult to evaluate the interpretability of GFSs in general. The present study aims to analyze accuracy-complexity relationship in fish habitat modelling using a genetic Takagi-Sugeno fuzzy model called fuzzy habitat preference model (FHPM). The model complexity was defined by bit lengths of a genetic algorithm (GA) assigned to the consequent part of the model, while fuzzy rules and antecedent parts were kept the same. FHPM was developed on the basis of the mean squared errors between the composite habitat preference and the observed presence-absence of fish. The model accuracy was evaluated using multiple performance measures. As a result, the different model complexities resulted in slightly different habitat preference curves and model accuracies. At some complexities, the model accuracy was found to be slightly improved with increased model complexity. The result suggests that an optimal point exists where the model complexity can take a balance between the accuracy and the complexity of the target models, which depends partly on data characteristics and model formulations of the GFSs.},
  author       = {Fukuda, Shinji and Nakajima, Jun and De Baets, Bernard and Waegeman, Willem and Mukai, Takahiko and Mouton, Ans and Orikura, Norio},
  booktitle    = {Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011)},
  isbn         = {9781612840482},
  keyword      = {aquaculture,ecology,fuzzy set theory,genetic algorithms,mean square error methods},
  language     = {eng},
  location     = {Paris, France},
  pages        = {81--86},
  publisher    = {IEEE},
  title        = {A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems},
  url          = {http://dx.doi.org/10.1109/GEFS.2011.5949490},
  year         = {2011},
}

Chicago
Fukuda, Shinji, Jun Nakajima, Bernard De Baets, Willem Waegeman, Takahiko Mukai, Ans Mouton, and Norio Orikura. 2011. “A Discussion on the Accuracy-complexity Relationship in Modelling Fish Habitat Preference Using Genetic Takagi-Sugeno Fuzzy Systems.” In Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011), 81–86. Piscataway, NJ, USA: IEEE.
APA
Fukuda, S., Nakajima, J., De Baets, B., Waegeman, W., Mukai, T., Mouton, A., & Orikura, N. (2011). A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems. Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011) (pp. 81–86). Presented at the 2011 IEEE 5th International workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Fukuda S, Nakajima J, De Baets B, Waegeman W, Mukai T, Mouton A, et al. A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems. Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011). Piscataway, NJ, USA: IEEE; 2011. p. 81–6.
MLA
Fukuda, Shinji, Jun Nakajima, Bernard De Baets, et al. “A Discussion on the Accuracy-complexity Relationship in Modelling Fish Habitat Preference Using Genetic Takagi-Sugeno Fuzzy Systems.” Proceedings 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2011). Piscataway, NJ, USA: IEEE, 2011. 81–86. Print.