Inference using compiled min-based possibilistic causal networks in the presence of interventions

Author:

Ayachi Raouia,Ben Amor Nahla,Benferhat Salem

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference31 articles.

1. R. Ayachi, N. Ben Amor, S. Benferhat, Compiling min-based possibilistic causal networks: a mutilated-based approach, in: Proceedings of European Conference of Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Belfast-UK, 2011, pp. 700–712.

2. R. Ayachi, N. Ben Amor, S. Benferhat, R. Haenni, Compiling possibilistic networks: alternative approaches to possibilistic inference, in: Proceedings of Uncertainty on Artificial Intelligence, AUAI Press, 2010, pp. 40–47.

3. On the transformation between possibilistic logic bases and possibilistic causal networks;Benferhat;Int. J. Approx. Reason.,2002

4. S. Benferhat, S. Smaoui, Possibilistic causal networks for handling interventions: a new propagation algorithm, in: Proceedings of the National Conference on Artificial Intelligence, 2007, pp. 373–378.

5. Inferring interventions in product-based possibilistic causal networks;Benferhat;Fuzzy Sets Syst.,2011

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3. Evolving possibilistic fuzzy modelling;Journal of Statistical Computation and Simulation;2016-12-20

4. Possibilistic Graphical Models for Uncertainty Modeling;Lecture Notes in Computer Science;2016

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