1. Haouari, Z.E.B., Amor, N.B., Mellouli, K.: Naive possibilistic network classifier. In: Proceedings of The Thirteenth Congress of International Association for Fuzzy-Set Management and Economy, SIGEF 2006 (2006)
2. Benferhat, S., Dubois, D., Garcia, L., Prade, H.: Possibilistic logic bases and possibilistic graphs. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence UAI 1999, Stockholm, pp. 57–64 (1999)
3. Borgelt, C., Gebhardt, J.: A naive bayes style possibilistic classifier. In: Proceedings of the 7th European Congress on Intelligent Techniques and Soft Computing EUFIT 1999, Aachen, Germany (1999)
4. Borgelt, C., Kruse, R.: Graphical Models: Methods for Data Analysis and Mining. John Wiley & Sons, Inc., New York (2002)
5. Borgelt, C., Kruse, R.: Learning from imprecise data: possibilistic graphical models. Computational Statistics & Data Analysis 38(4), 449–463 (2002)