Value-at-risk in uncertain random risk analysis

نویسندگان

  • Yuhan Liu
  • Dan A. Ralescu
چکیده

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-ofn system, standby system, and structural system. © 2017 Elsevier Inc. All rights reserved.

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عنوان ژورنال:
  • Inf. Sci.

دوره 391  شماره 

صفحات  -

تاریخ انتشار 2017