A ROBUST MEASURE OF UNCERTAINTY IMPORTANCE FOR USE IN FAULT TREE SYSTEM-ANALYSIS

被引：200

作者：

IMAN, RL ^{[1
]}

HORA, SC ^{[1
]}

机构：

[1] UNIV HAWAII,DIV BUSINESS ADM & ECON,HILO,HI 96720

来源：

RISK ANALYSIS | 1990年 / 10卷 / 03期

关键词：

cut set; Mallow's C.[!sub]p[!/sub; regression; Top event; variance;

D O I：

10.1111/j.1539-6924.1990.tb00523.x

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

The analysis of probabilistic fault trees often involves the investigation of events that contribute both to the frequency of the top event and to the uncertainty in this frequency. This paper provides a discussion of three measures of the contribution of an event to the total uncertainty in the top event. These measures are known as uncertainty importance measures. Two of these measures are new developments. Each of the measures is shown to have unique advantages and disadvantages. The three measures are based on, respectively, the expected reduction in the variance of the top‐event frequency should the uncertainty in an event be resolved, the same measure based on the log frequency, and a measure based on shifts in the quantiles of the distribution of top‐event frequency. Copyright © 1990, Wiley Blackwell. All rights reserved

引用

页码：401 / 406

页数：6

共 10 条

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