Fuzzy probability calculation with confidence intervals in Bayesian networks

被引：6

作者：

Ersel, Derya ^{[1
]}

Icen, Duygu ^{[1
]}

机构：

[1] Hacettepe Univ, Dept Stat, TR-06800 Ankara, Turkey

来源：

SOFT COMPUTING | 2016年 / 20卷 / 02期

关键词：

Bayesian network; Confidence interval; Fuzzy probability; Fuzzy numbers; alpha-Cuts;

D O I：

10.1007/s00500-014-1545-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we propose to use Buckley's confidence interval approach which has not been used before in the literature to calculate marginal and conditional fuzzy probabilities in Bayesian networks. We apply this approach to a real life problem and show that Buckley's confidence interval approach provides to indicate uncertainty better and represents knowledge more explicitly than determining fuzzy probabilities based only on the expert opinion in Bayesian networks.

引用

页码：819 / 829

页数：11

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