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Structures Derived from Possible Tables in an Incomplete Information Table.

, , , and . SCIS/ISIS, page 1-6. IEEE, (2022)

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Semantic field as a bridge between data and decision., , and . KES, page 589-593. IEEE, (2000)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)Rough Set-Based Information Dilution by Non-deterministic Information., , , and . RSFDGrC, volume 8170 of Lecture Notes in Computer Science, page 55-66. Springer, (2013)Rough Sets under Non-deterministic Information., and . RSKT, volume 5589 of Lecture Notes in Computer Science, page 76-85. Springer, (2009)A Prototype System for Rule Generation in Lipski's Incomplete Information Databases., , and . RSFDGrC, volume 6743 of Lecture Notes in Computer Science, page 175-182. Springer, (2011)Functional Dependencies in Relational Expressions Based on Or-Sets., and . Rough Sets and Current Trends in Computing, volume 2475 of Lecture Notes in Computer Science, page 161-166. Springer, (2002)Rule Generation in Lipski's Incomplete Information Databases., , and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 376-385. Springer, (2010)A Model of Rule Generation Handling Granules Defined by Implications in Table Data Sets., , and . ICDM Workshops, page 446-453. IEEE, (2018)Properties on inclusion relations and division charts in non-deterministic information systems., , , and . GrC, page 521-526. IEEE Computer Society, (2011)An overview of decision making in Rough Non-deterministic Information Analysis., , , and . NaBIC, page 345-350. IEEE, (2010)