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COMAD
2008
13 years 6 months ago
Modeling Uncertain and Imprecise Information in Process Modeling with UML
In designing and developing large complex products, people use models to describe and organize interrelated elements in both product systems (architecture, use cases, constraints....
Xiao Jing, Pierre Pinel, Lei Pi, Vincent Aranega, ...
VLDB
1992
ACM
173views Database» more  VLDB 1992»
13 years 8 months ago
An Extended Relational Database Model for Uncertain and Imprecise Information
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Suk Kyoon Lee
GIS
2006
ACM
14 years 5 months ago
Index for fast retrieval of uncertain spatial point data
Location information gathered from a variety of sources in the form of sensor data, video streams, human observations, and so on, is often imprecise and uncertain and needs to be ...
Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra,...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
13 years 9 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
EUSFLAT
2007
183views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Soft Computing in Wireless Sensors Networks
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Alexey N. Averkin, A. G. Belenki