Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944505 | Information Sciences | 2017 | 8 Pages |
Abstract
Uncertain random variables provide a tool to deal with phenomena in which uncertainty and randomness simultaneously exist. This paper proposes a concept of value-at-risk to quantify the risk of an uncertain random system. In addition, a value-at-risk theorem is proved in order to calculate the value-at-risk, and is applied to series systems, parallel system, k-out-of-n system, standby system, and structural system.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yuhan Liu, Dan A. Ralescu,