An Efficient High-Order α-Plane Aggregation in General Type-2 Fuzzy Systems Using Newton–Cotes Rules
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s40815-020-01031-4.pdf
Reference39 articles.
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2. El-Nagar, A.M., El-Bardini, M., El-Rabaie, N.M.: Intelligent control for nonlinear inverted pendulum based on interval type-2 fuzzy PD controller. Alex Eng. J. 53(1), 23–32 (2014). https://doi.org/10.1016/j.aej.2013.11.006
3. Maowen, N, Woei, W.T.: Towards an efficient type-reduction method for interval type-2 fuzzy logic systems. In: 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence). IEEE, pp. 1425–1432 (2008). https://doi.org/10.1109/FUZZY.2008.4630559
4. Ontiveros, E., Melin, P., Castillo, O.: Impact study of the footprint of uncertainty in control applications based on interval type-2 fuzzy logic controllers. In: Castillo, O., Melin, P., Kacprzyk, J. (eds.) Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Studies in Computational Intelligence, vol. 749, pp. 181–197. Springer, New York (2018). https://doi.org/10.1007/978-3-319-71008-2_15
5. Ontiveros, E., Melin, P., Castillo, O.: Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis. Inf. Sci. 525, 37–53 (2020). https://doi.org/10.1016/j.ins.2020.03.059
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