Linguistic modeling for function approximation using grid partitions
H Ishibuchi, T Yamamoto… - 10th IEEE International …, 2001 - ieeexplore.ieee.org
Discusses various issues related to linguistic modeling of nonlinear functions with many
input variables. Our task is to extract a small number of comprehensible linguistic rules from
numerical data for describing nonlinear functions in a human understandable manner. First
we show the necessity of general rules in the handling of nonlinear functions with many
input variables. Next we compare a standard interpolation-based fuzzy reasoning method
with our non-standard specificity-based method. When a rule base is a mixture of general …
input variables. Our task is to extract a small number of comprehensible linguistic rules from
numerical data for describing nonlinear functions in a human understandable manner. First
we show the necessity of general rules in the handling of nonlinear functions with many
input variables. Next we compare a standard interpolation-based fuzzy reasoning method
with our non-standard specificity-based method. When a rule base is a mixture of general …
Linguistic modeling for function approximation using grid partitions
T Nakashima, H Ishibuchi, T Yamamoto - 10th IEEE International …, 2002 - cir.nii.ac.jp
Discusses various issues related to linguistic modeling of nonlinear functions with many
input variables. Our task is to extract a small number of comprehensible linguistic rules from
numerical data for describing nonlinear functions in a human understandable manner. First
we show the necessity of general rules in the handling of nonlinear functions with many
input variables. Next we compare a standard interpolation-based fuzzy reasoning method
with our non-standard specificity-based method. When a rule base is a mixture of general …
input variables. Our task is to extract a small number of comprehensible linguistic rules from
numerical data for describing nonlinear functions in a human understandable manner. First
we show the necessity of general rules in the handling of nonlinear functions with many
input variables. Next we compare a standard interpolation-based fuzzy reasoning method
with our non-standard specificity-based method. When a rule base is a mixture of general …
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