Title :
Fuzzy data smoothing
Author_Institution :
Adv. Technol. Center, Yamatake-Honeywell Co. Ltd., Tokyo, Japan
Abstract :
This paper describes the basic algorithm of fuzzy data smoothing based on the idea of multi-dimensional membership functions. The procedure can generate elliptic, parabolic, etc. fuzzy partitions. Such fuzzy partitions offer many benefits in the fuzzy data processing area. Fuzzy data smoothing technique is useful for data with both random and spike noise and approximates human operation
Keywords :
filtering and prediction theory; fuzzy control; fuzzy logic; fuzzy set theory; random noise; elliptic partitions; fuzzy data processing; fuzzy data smoothing; fuzzy partitions; human operation; linearity; multi-dimensional membership functions; parabolic partitions; random noise; spike noise; Data processing; Equations; Fuzzy logic; Fuzzy sets; Humans; Linearity; Partitioning algorithms; Shape; Smoothing methods; Vehicle safety;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
Conference_Location :
Hamamatsu
Print_ISBN :
0-7803-1880-3
DOI :
10.1109/IMTC.1994.352119
