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Boundary variable precision dominance-based rough set approach in multicriteria sorting problems
Li, Hong1,2; Wang, Guo Yin1,2,3; Gou, Guang Lei2,3; Liu, Wen1,2
2013
摘要This paper provides a novel method of boundary variable precision dominance-based rough set approach (BVP-DRSA) to solve multicriteria sorting problem that differs from usual classification problems since it takes into account preference orders in the description of objects by condition and decision attributes. The major contribution of our BVP-DRSA method is that it combines variable precision and dominance-based rough set approach (DRSA). This approach is different from the dominance-based rough set approach (DRSA) because it takes boundary into account and can deal with boundary directly. Comparative experiments form datasets of UCI and empirical results shows that our BVP-DRSA is far more efficient than directly using already known classing algorithms and DRSA. © (2013) Trans Tech Publications, Switzerland.
语种英语
DOI10.4028/www.scientific.net/AMR.734-737.3102
会议(录)名称2013 2nd International Conference on Energy and Environmental Protection, ICEEP 2013
页码3102-3106
收录类别EI
会议地点Guilin, China
会议日期April 19, 2013 - April 21, 2013