作者: M.F. Kawaguchi , M. Miyakoshi
DOI: 10.1109/FUZZY.2000.838708
关键词:
摘要: This work deals with the problem of nonlinear interpolative reasoning in a sparse fuzzy rule base multiple input. First all, authors introduce method interpolation based on bi-splines and notion function (we call it spline surface case two-input). Then, we propose to construct partitions (a new dense base) through such function, which enables us execute any conventional approximate for arbitrary