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IJAR
2008
119views more  IJAR 2008»
13 years 2 months ago
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications
We consider here the case where our knowledge is partial and based on a betting density function which is n-dimensional Gaussian. The explicit formulation of the least committed b...
Francois Caron, Branko Ristic, Emmanuel Duflos, Ph...
IJAR
2008
140views more  IJAR 2008»
13 years 3 months ago
Financial risk measurement with imprecise probabilities
Although financial risk measurement is a largely investigated research area, its relationship with imprecise probabilities has been mostly overlooked. However, risk measures can b...
Paolo Vicig
IJAR
2006
61views more  IJAR 2006»
13 years 4 months ago
The interpretation of fuzzy integrals and their application to fuzzy systems
Fuzzy integrals, in general, and Sugeno integrals, in particular, are well known aggregation operators. They can be used in a great variety of decision making applications. Nevert...
Vicenç Torra, Yasuo Narukawa
IJAR
2006
107views more  IJAR 2006»
13 years 4 months ago
Aggregation operators and decision modeling
Vicenç Torra, Yasuo Narukawa
IJAR
2006
197views more  IJAR 2006»
13 years 4 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
IJAR
2006
92views more  IJAR 2006»
13 years 4 months ago
Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters
The pattern recognition problem in Ring Imaging CHerenkov (RICH) counters concerns the identification of an unknown number of rings whose centers and radii are assumed to be unkno...
A. M. Massone, Léonard Studer, Francesco Ma...
IJAR
2006
133views more  IJAR 2006»
13 years 4 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
IJAR
2006
103views more  IJAR 2006»
13 years 4 months ago
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms
In many real-life situations, we only have partial information about the actual probability distribution. For example, under Dempster-Shafer uncertainty, we only know the masses m...
Vladik Kreinovich, Gang Xiang, Scott Ferson
IJAR
2006
125views more  IJAR 2006»
13 years 4 months ago
Computing best-possible bounds for the distribution of a sum of several variables is NP-hard
In many real-life situations, we know the probability distribution of two random variables x1 and x2, but we have no information about the correlation between x1 and x2; what are ...
Vladik Kreinovich, Scott Ferson