52 search results - page 4 / 11 » Fuzzy Clustering Based on Total Uncertainty Degree |
PR
2006
13 years 7 months ago
2006
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
CJ
2006
13 years 7 months ago
2006
Abstract. Uncertainty is an inherent property of all living systems. Curiously enough, computational models inspired by biological systems do not take, in general, under considerat...
IAJIT
2008
13 years 7 months ago
2008
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
SEMWEB
2007
Springer
14 years 1 months ago
2007
Springer
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....
ECSQARU
1999
Springer
13 years 11 months ago
1999
Springer
Intelligent agents embedded in physical environments need ity to connect, or anchor, the symbols used to perform abstract reasoning to the physical entities which these symbols ref...