.png){kind=icon}
.png){kind=icon}
Return
Unifying practical uncertainty representations: II. Clouds
.png){kind=icon}
OA
AI
DOI：10.1016/j.ijar.2008.07.004.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
There exist many simple tools for jointly capturing variability and incomplete information by means of uncertainty representations. Among them are random sets, possibility distributions, probability intervals, and the more recent Ferson's p-boxes and Neumaier's clouds, both defined by pairs of possibility distributions. In the companion paper, we have extensively studied a generalized form of p-box and situated it with respect to other models. This paper focuses on the links between clouds and other representations. Generalized p-boxes are shown to be clouds with comonotonic distributions. In general, clouds cannot always be represented by random sets, in fact not even by two-monotone (convex) capacities. (C) 2008 Elsevier Inc. All rights reserved.
Keywords:
Imprecise probability representations
p-Boxes
Possibility theory
Random sets
Clouds
Probability intervals
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
2.9K
Citations:
5.1K