The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
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Citations
Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
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 concept of a linguistic variable and its application to approximate reasoning-III
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90017-1 · Cited by 12,139
How to Make a Decision: The Analytic Hierarchy Process
Saaty, T. L. (1990) · European Journal of Operational Research · doi:10.1016/0377-2217(90)90057-i · Cited by 9,605
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Zitzler, E., & Thiele, L. (1999) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.797969 · Cited by 8,798
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
Zadeh, L. A. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.5408575 · Cited by 8,721
An experiment in linguistic synthesis with a fuzzy logic controller
Mamdani, E. H., & Assilian, S. (1975) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(75)80002-2 · Cited by 5,785
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
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
MAMDANI, E. H., & ASSILIAN, S. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1973.0303 · Cited by 5,603
Söderström, T., & Stoica, P. (1988) · Cited by 5,162
Cited by
Fazzolari, M., Alcala, R., Nojima, Y., Ishibuchi, H., & Herrera, F. (2013) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2201338 · Cited by 296
Metadata
- Authors
- Cordón, O.
- Venue
- International Journal of Approximate Reasoning
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 52
- Issue
- 6
- Pages
- 894-913
- ISSN
- 0888-613X (ISSN-L)
- OpenAlex
- W2022421417
- Cited by
- 347
- References
- 83
- FWCI
- 18.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems. https://app.cochat.ai/papers/10.1016/j.ijar.2011.03.004
- The paper
- Cordón, O. (2011). A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems. International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2011.03.004
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.
