Title :
Deriving samples from incomplete data
Author_Institution :
Inst. of Resource Sci., Beijing Normal Univ., China
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;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687564
