F. Berzal, J. Cubero, D. Sanchez, M. Vila, and J. M. Serrano, An alternative approach to discover gradual dependencies, IJUFKS, vol.15, issue.5, pp.559-570, 2007.

B. Bouchon-meunier and S. Desprès, Acquisition numérique / symbolique de connaissances graduelles, 3èmes Journées Nationales du PRC Intelligence Artificielle, pp.127-138, 1990.

P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis, Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems, vol.47, pp.547-553, 2009.

L. D. Jorio, A. Laurent, and M. , Teisseire. Fast extraction of gradual association rules : A heuristic based method, Proc. of CSTST'08, 2008.

L. D. Jorio, A. Laurent, and M. , Teisseire. Mining frequent gradual itemsets from large databases, Proc. of IDA'09, 2009.

D. Dubois and H. Prade, Gradual inference rules in approximate reasoning, Information Sciences, vol.61, issue.1-2, pp.103-122, 1992.

S. Galichet, D. Dubois, and H. Prade, Imprecise specification of ill-known functions using gradual rules, vol.IJAR, pp.205-222, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00428677

E. Hüllermeier, Implication-based fuzzy association rules, Proc. of PKDD'01, pp.241-252, 2001.

E. Hüllermeier, Association rules for expressing gradual dependencies, Proc. of PKDD'02, pp.200-211, 2002.

M. Kendall, B. , and B. Smith, The problem of m rankings. Annals of mathematical statistics, vol.10, pp.275-287, 1939.