The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
GA-fuzzy modeling and classification: complexity and performance
Open accessAbstract
The use of genetic algorithms (GAs) and other evolutionary optimization methods to design fuzzy rules for systems modeling and data classification have received much attention in recent literature. Authors have focused on various aspects of these randomized techniques, and a whole scale of algorithms have been proposed. We comment on some recent work and describe a new and efficient two-step approach that leads to good results for function approximation, dynamic systems modeling and data classification problems. First, fuzzy clustering is applied to obtain a compact initial rule-based model. Then this model is optimized by a real-coded GA subjected to constraints that maintain the semantic properties of the rules. We consider four examples from the literature: a synthetic nonlinear dynamic systems model, the iris data classification problem, the wine data classification problem, and the dynamic modeling of a diesel engine turbocharger. The obtained results are compared to other recently proposed methods.
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Cites
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Cited by
Ten years of genetic fuzzy systems: current framework and new trends
Cordón, O., Gomide, F., Herrera, F., Hoffmann, F., & Magdalena, L. (2004) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(03)00111-8 · Cited by 819
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
Leung, F. H. F., Lam, H. K., Ling, S. H., & Tam, P. K. S. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2002.804317 · Cited by 784
Cavallaro, E., Micera, S., Dario, P., Jensen, W., & Sinkjaer, T. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.816075 · Cited by 44
Clavulanic Acid Degradation in Streptomyces clavuligerus Fed‐Batch Cultivations
Roubos, J. A., Krabben, P., Laat, W. T. A. M. D., Babuška, R., & Heijnen, J. J. (2002) · Biotechnology Progress · doi:10.1021/bp020294n · Cited by 35
Metadata
- Authors
- Setnes, M., & Roubos, H.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2000
- Volume
- 8
- Issue
- 5
- Pages
- 509-522
- ISSN
- 1063-6706 (ISSN-L)
- OpenAlex
- W2144630308
- Cited by
- 473
- References
- 20
- FWCI
- 33.32
- Type
- journal article
- Language
- en
- Open access
- bronze
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