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Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together?

, and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 187-196. Springer, (2010)

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Introducing NRough Framework.. IJCRS (1), volume 10313 of Lecture Notes in Computer Science, page 669-689. Springer, (2017)Decision Bireducts and Approximate Decision Reducts: Comparison of Two Approaches to Attribute Subset Ensemble Construction., and . FedCSIS, page 331-338. (2012)Granular Attribute Selection: A Case Study of Rough Set Approach to MRI Segmentation., and . PReMI, volume 8251 of Lecture Notes in Computer Science, page 47-52. Springer, (2013)Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together?, and . RSCTC, volume 6086 of Lecture Notes in Computer Science, page 187-196. Springer, (2010)A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts., , and . RSFDGrC (2), volume 3642 of Lecture Notes in Computer Science, page 372-382. Springer, (2005)An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts., , and . Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 815-824. Springer, (2004)Approximation Degrees in Decision Reduct-Based MRI Segmentation., and . FBIT, page 431-436. IEEE Computer Society, (2007)Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation., and . RSKT, volume 6954 of Lecture Notes in Computer Science, page 81-88. Springer, (2011)Attribute Subset Quality Functions over a Universe of Weighted Objects., and . RSEISP, volume 8537 of Lecture Notes in Computer Science, page 99-110. Springer, (2014)Generalized Majority Decision Reducts., and . FedCSIS, page 165-174. (2016)