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Measuring Variation Strength in Gradual Dependencies.

, , , and . EUSFLAT Conf. (1), page 337-344. Universitas Ostraviensis, (2007)

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Measuring Variation Strength in Gradual Dependencies., , , and . EUSFLAT Conf. (1), page 337-344. Universitas Ostraviensis, (2007)Helping User to Discover Association Rules: A Case in Soil Color as Aggregation of Other Soil Properties., , , , , and . ICEIS (2), page 533-540. (2003)An Experience in Management of Imprecise Soil Databases by Means of Fuzzy Association Rules and Fuzzy Approximate Dependencies., , , , , and . ICEIS (2), page 138-146. (2004)Representation by levels: An alternative to fuzzy sets for fuzzy data mining., , and . Fuzzy Sets Syst., (2020)Usability Issues in Data Mining Systems., , , , and . ICEIS (2), page 418-421. (2003)A definition for fuzzy approximate dependencies., , , , and . Fuzzy Sets Syst., 149 (1): 105-129 (2005)Reduced Levels of Creatine in the Right Medial Temporal Lobe Region of Panic Disorder Patients Detected with 1H Magnetic Resonance Spectroscopy., , , , , , , and . NeuroImage, 16 (3): 836-842 (2002)A New Proposal of Aggregation Functions: The Linguistic Summary., , , and . IFSA, volume 2715 of Lecture Notes in Computer Science, page 127-134. Springer, (2003)A tool to perform semantic and imprecise queries on non-scalar data., , and . FUZZ-IEEE, page 1-6. IEEE, (2017)Helping Users in Web Information Retrieval Via Fuzzy Association Rules., , , and . Soft Computing in Web Information Retrieva, volume 197 of Studies in Fuzziness and Soft Computing, (2006)