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JUCS
2010
127views more  JUCS 2010»
13 years 3 months ago
A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information
: In group decision making situations, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved and, as a result, they may present incomple...
Francisco Javier Cabrerizo, Ruben Heradio, Ignacio...
PROCEDIA
2010
103views more  PROCEDIA 2010»
12 years 12 months ago
The Deflated Relaxed Incomplete Cholesky CG method for use in a real-time ship simulator
Ship simulators are used for training purposes and therefore have to calculate realistic wave patterns around the moving ship in real time. We consider a wave model that is based ...
E. van't Wout, M. B. van Gijzen, A. Ditzel, Auke v...
EWCBR
2004
Springer
13 years 10 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 4 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
CSDA
2006
71views more  CSDA 2006»
13 years 5 months ago
Practical representations of incomplete probabilistic knowledge
This article deals with the compact representation of incomplete probabilistic knowledge which can be encountered in risk evaluation problems, for instance in environmental studie...
Cédric Baudrit, Didier Dubois