The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Ten years of genetic fuzzy systems: current framework and new trends
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Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
Multi-Objective Optimization Using Evolutionary Algorithms
Deb, K., & Kalyanmoy, D. (2001) · Andalas University Repository (Andalas University) · Cited by 14,918
Evolutionary Algorithms for Solving Multi-Objective Problems
(2007) · Genetic and Evolutionary Computation Series · doi:10.1007/978-0-387-36797-2 · Cited by 5,686
Evolutionary Algorithms for Solving Multi-Objective Problems
Coello Coello, C. A., Van Veldhuizen, D. A., & Lamont, G. B. (2002) · Genetic Algorithms and Evolutionary Computation · doi:10.1007/978-1-4757-5184-0 · Cited by 2,663
An Introduction to Fuzzy Control
Driankov, D., Hellendoorn, H., & Reinfrank, M. (1993) · Springer eBooks · doi:10.1007/978-3-662-11131-4 · Cited by 2,330
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Larraanaga, P., & Lozano, J. A. (2001) · Kluwer Academic Publishers eBooks · Cited by 1,914
Neural-network-based fuzzy logic control and decision system
Lin, C.-T., & Lee, C. S. G. (1991) · IEEE Transactions on Computers · doi:10.1109/12.106218 · Cited by 1,480
Babuška, R. (1998) · International Series in Intelligent Technologies · doi:10.1007/978-94-011-4868-9 · Cited by 1,318
Cited by
FURIA: an algorithm for unordered fuzzy rule induction
Hühn, J., & Hüllermeier, E. (2009) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-009-0131-8 · Cited by 441
Alcala-Fdez, J., Alcala, R., & Herrera, F. (2011) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2011.2147794 · Cited by 371
Self-citationCordón, O. (2011) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2011.03.004 · Cited by 347
Self-citationA review on the design and optimization of interval type-2 fuzzy controllers
Castillo, O., & Melin, P. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2011.12.010 · Cited by 332
The 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Metadata
- Authors
- Cordón, O., Gomide, F., Herrera, F., Hoffmann, F., & Magdalena, L.
- Venue
- Fuzzy Sets and Systems
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 141
- Issue
- 1
- Pages
- 5-31
- ISSN
- 0165-0114 (ISSN-L)
- OpenAlex
- W2097460058
- Cited by
- 819
- References
- 52
- FWCI
- 36.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Cordón, O., Gomide, F., Herrera, F., Hoffmann, F., & Magdalena, L. (2004). Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets and Systems. https://doi.org/10.1016/s0165-0114(03)00111-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
