ON HYBRIDIZATION OF PROBABILISTIC AND FUZZY APPROACHES TO PROPAGATE RANDOMNESS AND EPISTEMIC UNCERTAINTY IN RISK ASSESSMENT MODELS

被引：0
|
作者：
Georgescu, Vasile [1 ]
机构：
[1] Univ Craiova, Dept Math Econ, Craiova 200585, Romania
来源：
COMPUTATIONAL INTELLIGENCE IN BUSINESS AND ECONOMICS | 2010年 / 3卷
关键词：
ADDRESSING UNCERTAINTY;
D O I：
10.1142/9789814324441_0006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discuses hybrid probabilistic and fuzzy approaches to propagating randomness and uncertainty in risk assessment models. Analytic and stochastic methods such as Probability bounds analysis, Fuzzy a-levels analysis, and the theory of Fuzzy random vectors can be combined in different ways or can be integrated in a Fuzzy Monte Carlo simulation framework in order to find the output of a model that has both random variables (given by probability distributions) and fuzzy variables for the inputs.
引用
收藏
页码：27 / 34
页数：8
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