Risk Assessment of Circuit Breakers Using Influence Diagrams with Interval Probabilities
نویسندگان
چکیده
منابع مشابه
Interval Influence Diagrams
We describe a mechanism for performing probabilistic reasoning in influence diagrams us ing interval rather than point valued probabilities. We derive the procedures for node removal (corresponding to conditional expectation) and arc reversal (corresponding to Bayesian condi tioning) in influence diagrams where lower bounds on probabilities are stored at each node. The resulting bounds for th...
متن کاملassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
Decision making with interval influence diagrams
In previous work [1, 2] we defined a mechanism for performing probabilistic reasoning in influence dia grams using interval rather than point-valued proba bilities. In this paper we extend these procedures to incorporate decision nodes and interval-valued value functions in the diagram. We derive the procedures for chance node removal (calculating expected value) and decision node removal (op...
متن کاملEvaluating interval-valued influence diagrams
Influence diagrams are probabilistic graphical models used to represent and solve sequential decision problems under uncertainty. Sharp numerical values are required to quantify probabilities and utilities. This might be an issue with real models, whose parameters are typically obtained from expert judgements or partially reliable data. We consider an interval-valued quantification of the param...
متن کاملStrategy Selection in Influence Diagrams using Imprecise Probabilities
This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise probability distributions and a reformulation is introduced that finds the global maximum strategy with respect to the expected utility. We work with Limited Memory Influence Diagrams, which generalize most Influence ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: 2073-8994
DOI: 10.3390/sym13050737