351 search results - page 10 / 71 » Analysis of variance for fuzzy data |
PARA
2004
Springer
14 years 27 days ago
2004
Springer
It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
FSS
2002
13 years 7 months ago
2002
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
–The performability of disk arrays systems has been studied before. However, in the case of imprecise data, a fuzzy model can be the base for the performability analysis. This pa...
CIT
2007
Springer
14 years 1 months ago
2007
Springer
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
WCE
2007
13 years 8 months ago
2007
—this paper proposes a multi agent and fuzzy logic based DSS for stock market. This system will help investors of the stock market to take the correct buy/sell/hold decisions. Th...