Identification of logical probabilistic risk models of structurally complex systems with groups of inconsistent events

被引：0

作者：

Karasev, V.V. ^{[1
]}

Solozhentsev, E.D. ^{[1
]}

机构：

[1] Inst. Problem Mashinovedeniya, RAN, Sankt-Peterburg, Russia

来源：

Avtomatika i Telemekhanika | 2002年 / 03期

关键词：

Formal logic - Mathematical models - Probability - Reliability - Risk assessment;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The identification theory is presented for logico-probabilistic (LP) risk models of structurally complex systems with groups of inconsistent events (GIE). The high accuracy and stability of risk LP models are substantiated that are based on the GIE use (Bayes formulas) and a well-organized risk polynomial. Examples are given on identification and LP models analysis for systems with different logical complexity.

引用

页码：97 / 113