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    References

    Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen, Qiang Shen, Pages: 313–336, 2008

    Published Online : 29 JAN 2008, DOI: 10.1002/9780470377888.refs

  2. Rough-Granular Computing

    Handbook of Granular Computing

    Andrzej Skowron, James F. Peters, Pages: 285–327, 2008

    Published Online : 16 JUL 2008, DOI: 10.1002/9780470724163.ch13

  3. Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision-making

    Expert Systems

    Volume 32, Issue 4, August 2015, Pages: 507–521, Bingzhen Sun, Weimin Ma and Xiangtang Chen

    Version of Record online : 29 MAR 2015, DOI: 10.1111/exsy.12103

  4. Experiments with rough set approach to face recognition

    International Journal of Intelligent Systems

    Volume 26, Issue 6, June 2011, Pages: 499–517, Xuguang Chen and Wojciech Ziarko

    Version of Record online : 22 APR 2011, DOI: 10.1002/int.20481

  5. Rough sets bankruptcy prediction models versus auditor signalling rates

    Journal of Forecasting

    Volume 22, Issue 8, December 2003, Pages: 569–586, Thomas E. McKee

    Version of Record online : 15 DEC 2003, DOI: 10.1002/for.875

  6. Rough and Fuzzy Hybridization

    Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen, Qiang Shen, Pages: 133–141, 2008

    Published Online : 29 JAN 2008, DOI: 10.1002/9780470377888.ch7

  7. Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge

    Expert Systems

    Volume 20, Issue 5, November 2003, Pages: 260–270, Chris Cornelis, 1 Martine De Cock and 2 Etienne E. Kerre 3

    Version of Record online : 10 OCT 2003, DOI: 10.1111/1468-0394.00250

  8. Rough set spatial data modeling for data mining

    International Journal of Intelligent Systems

    Volume 19, Issue 7, July 2004, Pages: 567–584, Theresa Beaubouef, Roy Ladner and Frederick Petry

    Version of Record online : 26 MAY 2004, DOI: 10.1002/int.20019

  9. An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes

    International Journal of Intelligent Systems

    Volume 30, Issue 8, August 2015, Pages: 923–947, Jie Hu, Tianrui Li, Hongmei Chen and Anping Zeng

    Version of Record online : 14 APR 2015, DOI: 10.1002/int.21732

  10. Wisdom Granular Computing

    Handbook of Granular Computing

    Andrzej Jankowski, Andrzej Skowron, Pages: 329–345, 2008

    Published Online : 16 JUL 2008, DOI: 10.1002/9780470724163.ch14

  11. Set Theory

    Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen, Qiang Shen, Pages: 13–37, 2008

    Published Online : 29 JAN 2008, DOI: 10.1002/9780470377888.ch2

  12. Rough Sets and Granular Computing in Hierarchical Learning

    Handbook of Granular Computing

    Sinh Hoa Nguyen, Hung Son Nguyen, Pages: 801–822, 2008

    Published Online : 16 JUL 2008, DOI: 10.1002/9780470724163.ch36

  13. Developing a bankruptcy prediction model via rough sets theory

    Intelligent Systems in Accounting, Finance and Management

    Volume 9, Issue 3, September 2000, Pages: 159–173, Thomas E. Mckee

    Version of Record online : 15 NOV 2000, DOI: 10.1002/1099-1174(200009)9:3<159::AID-ISAF184>3.0.CO;2-C

  14. Neighborhood rough sets for dynamic data mining

    International Journal of Intelligent Systems

    Volume 27, Issue 4, April 2012, Pages: 317–342, Junbo Zhang, Tianrui Li, Da Ruan and Dun Liu

    Version of Record online : 22 FEB 2012, DOI: 10.1002/int.21523

  15. A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values

    International Journal of Intelligent Systems

    Volume 25, Issue 10, October 2010, Pages: 1005–1026, Hongmei Chen, Tianrui Li, Shaojie Qiao and Da Ruan

    Version of Record online : 18 JUN 2010, DOI: 10.1002/int.20436

  16. Application of the Rough Set Approach to Evaluation of Bankruptcy Risk

    Intelligent Systems in Accounting, Finance and Management

    Volume 4, Issue 1, March 1995, Pages: 27–41, R. Slowinski and C. Zopounidis

    Version of Record online : 25 MAR 2014, DOI: 10.1002/j.1099-1174.1995.tb00078.x

  17. Probabilistic approaches to rough sets

    Expert Systems

    Volume 20, Issue 5, November 2003, Pages: 287–297, Y. Y. Yao 1

    Version of Record online : 10 OCT 2003, DOI: 10.1111/1468-0394.00253

  18. Roughian: Rough information analysis

    International Journal of Intelligent Systems

    Volume 16, Issue 1, January 2001, Pages: 121–147, Ivo Düntsch and Günther Gediga

    Version of Record online : 1 DEC 2000, DOI: 10.1002/1098-111X(200101)16:1<121::AID-INT9>3.0.CO;2-Z

  19. Supplementary Developments and Investigations

    Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen, Qiang Shen, Pages: 279–300, 2008

    Published Online : 29 JAN 2008, DOI: 10.1002/9780470377888.ch15

  20. Construction of Rough Information Granules

    Handbook of Granular Computing

    Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich, Pages: 449–470, 2008

    Published Online : 16 JUL 2008, DOI: 10.1002/9780470724163.ch20