H. Agli, P. Bonnard, P. Wuillemin, and C. Gonzales, Uncertain reasoning for business rules, Proceedings of the 8th International Web Rule Symposium Doctoral Consortium, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01215676

H. Agli, P. Bonnard, P. Wuillemin, and C. Gonzales, Incremental Junction Tree Inference, Proceedings of the 16th Information Processing and Management of Uncertainty in Knowledge-Based Systems International Conference, 2016.
DOI : 10.1007/978-3-319-40596-4_28
URL : https://hal.archives-ouvertes.fr/hal-01345418

B. Berstel-da-silva, Verification of Business Rules Programs, 2014.
DOI : 10.1007/978-3-642-40038-4

S. Bobek and G. J. Nalepa, Compact Representation of Conditional Probability for Rule-Based Mobile Context-Aware Systems, Proceedings of the 9th International Symposium, RuleML, pp.83-96, 2015.
DOI : 10.1007/978-3-319-21542-6_6

B. G. Buchanan and E. H. Shortliffe, Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project, 1984.

L. De-raedt and A. Kimmig, Probabilistic (logic) programming concepts, Machine Learning, vol.7, issue.1, pp.5-47, 2015.
DOI : 10.1007/s10994-015-5494-z

C. Elkan, The paradoxical success of fuzzy logic, IEEE Expert, pp.698-703, 1993.
DOI : 10.1109/64.336150

C. L. Forgy, Rete: A fast algorithm for the many pattern/many object pattern match problem, Artificial Intelligence, vol.19, issue.1, 1982.
DOI : 10.1016/0004-3702(82)90020-0

I. Graham, Business Rules Management and Service Oriented Architecture: A Pattern Language, 2006.

P. E. Hart, R. O. Duda, and M. T. Einaudi, PROSPECTOR???A computer-based consultation system for mineral exploration, Journal of the International Association for Mathematical Geology, vol.60, issue.5, pp.589-610, 1977.
DOI : 10.1007/BF02461988

D. E. Heckerman and E. H. Shortliffe, From certainty factors to belief networks, Artificial Intelligence in Medicine, vol.4, issue.1, pp.35-52, 1992.
DOI : 10.1016/0933-3657(92)90036-O

D. Koller and A. Pfeffer, Probabilistic frame-based systems, Proceedings of the 15th National Conference on Artificial Intelligence (AAAI), pp.580-587, 1998.

D. Koller and A. Pfeffer, Object-oriented Bayesian networks, Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI), pp.302-313, 1997.

M. Korver and P. J. Lucas, Converting a rule-based expert system into a belief network, Medical Informatics, vol.33, issue.3, pp.219-241, 1993.
DOI : 10.3109/14639239309025312

S. M. Mahoney and K. B. Laskey, Network engineering for complex belief networks, Proceedings of the Twelfth International Conference on Uncertainty in Artificial Intelligence (UAI), pp.389-396, 1996.

K. C. Ng and B. Abramson, Uncertainty management in expert systems, IEEE Expert, vol.5, issue.2, pp.29-48, 1990.
DOI : 10.1109/64.53180

J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 1988.

A. J. Pfeffer, Probabilistic Reasoning for Complex Systems, 2000.

L. Torti, C. Gonzales, and P. H. Wuillemin, Speeding-up structured probabilistic inference using pattern mining, International Journal of Approximate Reasoning, vol.54, issue.7, pp.900-918, 2013.
DOI : 10.1016/j.ijar.2013.03.005
URL : https://hal.archives-ouvertes.fr/hal-01170498

P. H. Wuillemin and L. Torti, Structured probabilistic inference, International Journal of Approximate Reasoning, vol.53, issue.7, 2012.
DOI : 10.1016/j.ijar.2012.04.004
URL : https://hal.archives-ouvertes.fr/hal-01170485

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X