The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
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Citations
Cites
Genetic algorithms in search, optimization, and machine learning
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Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Fuzzy identification of systems and its applications to modeling and control
Takagi, T., & Sugeno, M. (1985) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1985.6313399 · Cited by 19,592
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
Fuzzy logic in control systems: fuzzy logic controller. I
Lee, C. C. (1990) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.52551 · Cited by 5,616
Generating fuzzy rules by learning from examples
Wang, L.-X., & Mendel, J. M. (1992) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.199466 · Cited by 2,894
A fuzzy-logic-based approach to qualitative modeling
Sugeno, M., & Yasukawa, T. (1993) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.1993.390281 · Cited by 2,411
Fuzzy logic in control systems : fuzzy logic controller. Part II
Lee, C. C. (1990) · IEEE Transactions on Systems Man and Cybernetics · Cited by 2,225
Uniform crossover in genetic algorithms
Syswerda, G. (1989) · international conference on Genetic algorithms · Cited by 1,965
An introductory survey of fuzzy control
Sugeno, M. (1985) · Information Sciences · doi:10.1016/0020-0255(85)90026-x · Cited by 1,181
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
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
Gacto, M. J., Alcalá, R., & Herrera, F. (2011) · Information Sciences · doi:10.1016/j.ins.2011.02.021 · Cited by 565
GA-fuzzy modeling and classification: complexity and performance
Setnes, M., & Roubos, H. (2000) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.873575 · Cited by 473
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies
Jin, Y., & Sendhoff, B. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2008.919172 · Cited by 455
Cordón, O. (2011) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2011.03.004 · Cited by 347
Metadata
- Authors
- Ishibuchi, H., Murata, T., & Türkşen, I. B.
- Venue
- Fuzzy Sets and Systems
- Publisher
- Elsevier BV
- Published
- 1997-07
- Volume
- 89
- Issue
- 2
- Pages
- 135-150
- ISSN
- 0165-0114 (ISSN-L)
- OpenAlex
- W2000353609
- Cited by
- 379
- References
- 17
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. https://app.cochat.ai/papers/10.1016/s0165-0114(96)00098-x
- The paper
- Ishibuchi, H., Murata, T., & Türkşen, I. B. (1997). Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems. https://doi.org/10.1016/s0165-0114(96)00098-x
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.