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Fuzzy Model Identification Based on Cluster Estimation
Abstract
We present an efficient method for estimating cluster centers of numerical data. This method can be used to determine the number of clusters and their initial values for initializing iterative optimization-based clustering algorithms such as fuzzy C-means. Here we use the cluster estimation method as the basis of a fast and robust algorithm for identifying fuzzy models. A benchmark problem involving the prediction of a chaotic time series shows this model identification method compares favorably with other, more computationally intensive methods. We also illustrate an application of this method in modeling the relationship between automobile trips and demographic factors.
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Cited by
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Hu, X., Li, S. E., & Yang, Y. (2016) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2015.2512237 · Cited by 375
SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network
de Jesus Rubio, J. (2009) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2009.2029569 · Cited by 346
Systematic Functional Annotation and Visualization of Biological Networks
Baryshnikova, A. (2016) · Cell Systems · doi:10.1016/j.cels.2016.04.014 · Cited by 148
Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images
Sock, J., Kasaei, S. H., Lopes, L. S., & Kim, T.-K. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw.2017.260 · Cited by 60
Metadata
- Authors
- Chiu, S. L.
- Venue
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Published
- 1994-08
- Volume
- 2
- Issue
- 3
- Pages
- 267-278
- ISSN
- 1064-1246 (ISSN-L)
- 1875-8967
- OpenAlex
- W1570834090
- Cited by
- 2,782
- References
- 0
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chiu, S. L. (1994). Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/ifs-1994-2306
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