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Probabilistic rough sets: Approximations, decision-makings, and applications.

, , and . Int. J. Approx. Reason., 49 (2): 253-254 (2008)

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Generalized Vector Space Model in Information Retrieval., , and . SIGIR, page 18-25. ACM, (1985)Rough Set-Based Incremental Learning Approach to Face Recognition., and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 356-365. Springer, (2010)Rough Sets: Trends, Challenges, and Prospects.. Rough Sets and Current Trends in Computing, volume 2005 of Lecture Notes in Computer Science, page 1-7. Springer, (2000)Approximation Region-Based Decision Tables.. Rough Sets and Current Trends in Computing, volume 1424 of Lecture Notes in Computer Science, page 178-185. Springer, (1998)On learning and evaluation of decision rules in the context of rough sets., and . ISMIS, page 308-324. ACM, (1986)Algebraic versus probabilistic independence in decision theory., and . ISMIS, page 207-212. ACM, (1986)Evaluation of Probabilistic Decision Tables.. RSFDGrC, volume 2639 of Lecture Notes in Computer Science, page 189-196. Springer, (2003)A Unified Approach for Artificial Intelligence and Information Retrieval., and . SIGIR Forum, 20 (1-4): 14-15 (1986)Decision Making with Probabilistic Decision Tables.. RSFDGrC, volume 1711 of Lecture Notes in Computer Science, page 463-471. Springer, (1999)On Learnability of Decision Tables.. Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 394-401. Springer, (2004)