The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
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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
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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 magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,161
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
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
Application of fuzzy algorithms for control of simple dynamic plant
Mamdani, E. H. (1974) · Proceedings of the Institution of Electrical Engineers · doi:10.1049/piee.1974.0328 · Cited by 4,064
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A 2-tuple fuzzy linguistic representation model for computing with words
Martinez, L., & Herrera, F. (2000) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.890332 · Cited by 2,662
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Trustworthy Artificial Intelligence: A Review
Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2023) · ACM Computing Surveys · doi:10.1145/3491209 · Cited by 709
Notions of explainability and evaluation approaches for explainable artificial intelligence
Vilone, G., & Longo, L. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.05.009 · Cited by 598
Cordón, O. (2011) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2011.03.004 · Cited by 347
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
Self-citationExplainable AI for 6G Use Cases: Technical Aspects and Research Challenges
Wang, S., Qureshi, M. A., Miralles-Pechuán, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3386872 · Cited by 170
Metadata
- Authors
- Gacto, M. J., Alcalá, R., & Herrera, F.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 181
- Issue
- 20
- Pages
- 4340-4360
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2016086965
- Cited by
- 565
- References
- 39
- FWCI
- 33.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gacto, M. J., Alcalá, R., & Herrera, F. (2011). Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Information Sciences. https://doi.org/10.1016/j.ins.2011.02.021
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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.
