The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
A review on the design and optimization of interval type-2 fuzzy controllers
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Citations
Cites
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
The Concepts of a Linguistic Variable and its Application to Approximate Reasoning
Zadeh, L. A. (1975) · Cited by 3,361
Fundamentals of Computational Swarm Intelligence
Engelbrecht, A. P. (2005) · Medical Entomology and Zoology · Cited by 1,871
Proceedings of IEEE International Conference on Systems, Man and Cybernetics
(1994) · Proceedings of IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/icsmc.1994.399796 · Cited by 1,341
A Hierarchical Type-2 Fuzzy Logic Control Architecture for Autonomous Mobile Robots
Hagras, H. A. (2004) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2004.832538 · Cited by 1,016
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
Type-2 Fuzzy Logic: Theory and Applications
Castillo, O., & Melin, P. (2008) · Studies in Fuzziness and Soft Computing · doi:10.1007/978-3-540-76284-3 · Cited by 594
Self-citationA hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Castro, J. R., Castillo, O., Melin, P., & Rodríguez-Díaz, A. (2009) · Information Sciences · doi:10.1016/j.ins.2008.10.016 · Cited by 295
Self-citationCastillo, O., Martínez-Marroquín, R., Melin, P., Valdez, F., & Soria, J. (2012) · Information Sciences · doi:10.1016/j.ins.2010.02.022 · Cited by 274
Self-citationGenetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Wu, D., & Wan Tan, W. (2006) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2005.12.011 · Cited by 261
Cited by
General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial
Mendel, J. M. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2286414 · Cited by 311
Sahu, B. K., Pati, S., Mohanty, P. K., & Panda, S. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.027 · Cited by 261
El-Nagar, A. M., & El-Bardini, M. (2014) · Applied Soft Computing · doi:10.1016/j.asoc.2014.08.040 · Cited by 48
Online learning of an interval type-2 TSK fuzzy logic controller for nonlinear systems
Khater, A. A., El-Nagar, A. M., El-Bardini, M., & El-Rabaie, N. M. (2019) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2019.08.031 · Cited by 23
Metadata
- Authors
- Castillo, O., & Melin, P.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 12
- Issue
- 4
- Pages
- 1267-1278
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2072506331
- Cited by
- 332
- References
- 24
- FWCI
- 31.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Castillo, O., & Melin, P. (2012). A review on the design and optimization of interval type-2 fuzzy controllers. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2011.12.010
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.
