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Rough Set Classifier Based on DSmT
2018
2018 21st International Conference on Information Fusion (FUSION)
The classifier based on rough sets is widely used in pattern recognition. However, in the implementation of rough setbased classifiers, there always exist the problems of uncertainty. Generally, information decision table in Rough Set Theory (RST) always contains many attributes, and the classification performance of each attribute is different. It is necessary to determine which attribute needs to be used according to the specific problem. In RST, such problem is regarded as attribute
doi:10.23919/icif.2018.8455552
dblp:conf/fusion/DongLD18
fatcat:pd3px3py5ne4xmfegifvc4ma74