DocumentCode
2341687
Title
Fuzzy data smoothing
Author
Tanaka, Masato
Author_Institution
Adv. Technol. Center, Yamatake-Honeywell Co. Ltd., Tokyo, Japan
fYear
1994
fDate
10-12 May 1994
Firstpage
90
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IMTC.1994.352119
Filename
352119
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