Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction

  title={Compact TS - Fuzzy Models Through Clustering and OLS Plus FIS Model Reduction},
  author={J{\'a}nos Abonyi and Johannes A. Roubos and Marcel Oosterom and Ferenc Szeifert},
The identification of uncertain and nonlinear systems is an important and challenging problem. Fuzzy logic models are often a good choice to describe such systems, however in many cases these become complex soon. Generally, too less effort is put into variable selection and in the creation of suitable local rules. Moreover, in general no model reduction is applied, while this may simplify the model by removing redundant information. This paper proposes a combined method that handles these… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS
14 Citations
13 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 14 extracted citations


Publications referenced by this paper.
Showing 1-10 of 13 references

Orthogonal transforms for ordering and reduction of fuzzy rules

  • M. Setnes, H. Hellendoorn
  • in FUZZ-IEEE, 2000, pp. 700–705.
  • 2000
1 Excerpt

Fuzzy Modeling for Control

  • R. Babuška
  • 1998
3 Excerpts

Fuzzy set methods for local modeling and identification

  • R. Babuška, H. B. Verbruggen
  • Multiple Model Approaches to Nonlinear Modeling…
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…