, Imprecise specification of ill-known functions using gradual rules, International Journal of Approximate Reasoning, vol.35, issue.3, pp.205-222, 2004.
DOI : 10.1016/j.ijar.2003.08.002
URL : https://hal.archives-ouvertes.fr/hal-00428677
, Implication-based fuzzy association rules, Principles of Data Mining and Knowledge Discovery, pp.241-252, 2001.
, Gradual inference rules in approximate reasoning, Proc of the Int. Conf. on Fuzzy Systems, pp.103-122, 1992.
DOI : 10.1016/0020-0255(92)90035-7
, Association Rules for Expressing Gradual Dependencies, Principles of Data Mining and Knowledge Discovery, vol.2431, pp.200-211, 2002.
DOI : 10.1007/3-540-45681-3_17
, AN ALTERNATIVE APPROACH TO DISCOVER GRADUAL DEPENDENCIES, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.15, issue.05, pp.559-570, 2007.
DOI : 10.1142/S021848850700487X
, GRAANK: Exploiting Rank Correlations for Extracting Gradual Itemsets, Proc. of the 8th Int. Conf. on Flexible Query Answering Systems, pp.382-393, 2009.
DOI : 10.1007/978-3-642-04957-6_33
URL : https://hal.archives-ouvertes.fr/lirmm-00408735
, Fast extraction of gradual association rules: a heuristic based method, Proc. of the 5th Int. Conf. on Soft Computing as Transdisciplinary Science and Technology, pp.205-210, 2008.
URL : https://hal.archives-ouvertes.fr/lirmm-00324473
, Mining frequent gradual itemsets from large data sets Advances in Intelligent Data Analysis VIII, pp.297-308, 2009.
, Strengthening fuzzy gradual rules through " all the more " clauses, Proc of the Int. Conf. on Fuzzy Systems, pp.1-7, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01072151
, Characterisation of gradual itemsets through " especially if " clauses based on mathematical morphology tools, EUSFLAT, pp.826-833, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01198837