An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems

@article{Wang2011AnOC,
  title={An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems},
  author={Di Wang and Xiao-Jun Zeng and John A. Keane},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2011},
  volume={19},
  pages={1127-1140}
}
This paper presents an output-constrained clustering approach for fuzzy system identification and fuzzy granular system identification. The approach is unlike most existing clustering algorithms for structure identification of fuzzy systems, where the focus is on input or combined input-output clustering. The output-constrained clustering algorithm divides the output space into several partitions and each output partition is considered to be a constraint; then, input data are projected into… CONTINUE READING