DocumentCode
325227
Title
Deriving samples from incomplete data
Author
Chongfu, Huang
Author_Institution
Inst. of Resource Sci., Beijing Normal Univ., China
Volume
1
fYear
1998
fDate
4-9 May 1998
Firstpage
645
Abstract
In this paper, based on the principle of information diffusion, we suggest a model to derive some samples from incomplete data. By this way, we use our initiative to open up fuzzy information in incomplete data. We give some simulation results which show that the information gaps caused by incompleteness can be filled, in some degree, by the derived samples
Keywords
fuzzy set theory; observers; parameter estimation; probability; fuzzy information; incomplete data; incompleteness; information diffusion; information gaps; Computational modeling; Computer simulation; Data engineering; Density functional theory; Earthquakes; Electronic mail; Fuzzy systems; Information analysis; Kernel; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.687564
Filename
687564
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