Identification of evolving fuzzy rule-based models

  title={Identification of evolving fuzzy rule-based models},
  author={Plamen P. Angelov and Richard A. Buswell},
  journal={IEEE Trans. Fuzzy Systems},
An approach to identification of evolving fuzzy rule-based (eR) models is proposed in this paper. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incrementalunsupervised learning. The rule-base evolves by adding more informative rules than those that previously formed the model. In addition, existing rules can be replaced with new rules based on ranking using the informative potential of the data. In this way, the rule-base structure is… CONTINUE READING
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