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شبکه بیزی مقاوم×شبکه بیزی×
حوزهبیزیبیزی
خانوادهBayesian methodsBayesian methods
سال پیدایش1991-20001988
پدیدآورFabio Cozman (credal networks); Peter Walley (imprecise probabilities)Judea Pearl
نوعprobabilistic graphical model with set-valued probabilitiesProbabilistic graphical model
منبع بنیادینCozman, F. G. (2000). Credal networks. Artificial Intelligence, 120(2), 199-233. DOI ↗Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797
نام‌های دیگرRBN, credal network, imprecise Bayesian network, sensitivity analysis in Bayesian networksBayes network, belief network, probabilistic graphical model, directed graphical model
مرتبط54
خلاصهA Robust Bayesian Network extends a classical Bayesian network by replacing each precise conditional probability table with a set of allowable probability distributions — called a credal set. Instead of a single probability for each query, inference returns a range of probabilities, honestly reflecting uncertainty about the model's numeric parameters while preserving the interpretable directed-acyclic-graph structure.A Bayesian network is a probabilistic graphical model, introduced by Judea Pearl in 1988, that encodes a set of variables and their conditional dependencies as a directed acyclic graph (DAG). Each node represents a variable; each directed edge encodes a direct probabilistic influence. By combining Bayes' rule with the graph's conditional independence structure, the model supports reasoning under uncertainty — computing the probability of any variable given observed evidence about others.
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ScholarGateمقایسهٔ روش‌ها: Robust Bayesian Network · Bayesian Network. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare