Diagnosis under compound effects and multiple causes by means of the conditional causal possibility approach

DOI10.1016/S0165-0114(03)00306-3zbMath1068.68150OpenAlexW2147456116MaRDI QIDQ1885719

Koichi Yamada

Publication date: 12 November 2004

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(03)00306-3

zbMATH Keywords

Possibility theoryCausal reasoningUncertain reasoning

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Encoding Fuzzy Diagnosis Rules as Optimisation Problems

Cites Work

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• Fusion, propagation, and structuring in belief networks
• Approximating probabilistic inference in Bayesian belief networks is NP- hard
• Default reasoning and possibility theory
• Epistemic entrenchment and possibilistic logic
• Fuzzy sets as a basis for a theory of possibility
• Conditional possibilities independence and noninteraction
• A synthetic view of belief revision with uncertain inputs in the framework of possibility theory
• Possibilistic causality consistency problem based on asymmetrically-valued causal model
• Fuzzy relation equations and causal reasoning
• The computational complexity of probabilistic inference using Bayesian belief networks
• A POSSIBILISTIC FRAMEWORK FOR SINGLE-FAULT CAUSAL DIAGNOSIS UNDER UNCERTAINTY*
• A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference
• A survey of belief revision and updating rules in various uncertainty models

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