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Rule induction based on rough sets from information tables containing possibilistic information.

, and . IFSA/NAFIPS, page 91-96. IEEE, (2013)

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Semantic field as a bridge between data and decision., , and . KES, page 589-593. IEEE, (2000)An overview of decision making in Rough Non-deterministic Information Analysis., , , and . NaBIC, page 345-350. IEEE, (2010)Lower and Upper Approximations in Data Tables Containing Possibilistic Information., and . Trans. Rough Sets, (2007)Properties on inclusion relations and division charts in non-deterministic information systems., , , and . GrC, page 521-526. IEEE Computer Society, (2011)Association rule-based decision making in table data., , and . IJRIS, 4 (3): 162-170 (2012)A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets., , and . ICDM Workshops, page 446-453. IEEE, (2018)Rough Sets under Non-deterministic Information., and . RSKT, volume 5589 of Lecture Notes in Computer Science, page 76-85. Springer, (2009)Rough Set-Based Information Dilution by Non-deterministic Information., , , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 55-66. Springer, (2013)On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2., , , and . RSFDGrC, volume 4482 of Lecture Notes in Computer Science, page 280-288. Springer, (2007)Granules for association rules and decision support in the getRNIA system., , , and . Intell. Decis. Technol., 9 (4): 309-320 (2015)