This paper describes an approach for fuzzy inference based on an uncertainty forward propagation method and a change in the granularity of the elements ...
This paper describes an approach for fuzzy inference based on an uncertainty forward propagation method and a change in the granularity of the elements involved ...
A step‐by‐step methodology for learning fuzzy rules is presented to be general enough to give a framework within which different learning methods in an ...
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A fuzzy inference model based on an uncertainty forward propagation approach. de Campos, L.M. · González, A. Revista: International Journal of Approximate ...
A fuzzy inference model based on an uncertainty forward propagation approach. de Campos, L.M. · González, A. Aldizkaria: International Journal of Approximate ...
Fuzzy logic provides a systematic basis for representing and inferring with this kind of knowledge. This paper describes an approach for fuzzy inference based ...
Campos de, L.M., and Gonzalez, A., 1993, A fuzzy inference model based on an uncertainty forward propagation approach, Int. J. of Approximate Reasoning, 9 ...
Sep 6, 2024 · The proposed FIS-enabled ANN feedforward compensation control method achieves lower overshoot, faster adjustment, and higher precision than other comparative ...
Mar 14, 2024 · 3. Campos L.M. and Gonzalez A. A fuzzy inference model based on an uncertainty forward propagation approach Int. J. Approx. Reason. 9 2 139 ...
This paper describes an approach for fuzzy inference based on an uncertainty forward propagation method and a change in the granularity of the elements involved ...