The superiority of three-way decisions in probabilistic rough set models
Y Yao - Information sciences, 2011 - Elsevier
Information sciences, 2011•Elsevier
Three-way decisions provide a means for trading off different types of classification error in
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three-
way decisions, probabilistic two-way decisions, and qualitative three-way decisions of the
standard rough set model. It is shown that, under certain conditions when considering the
costs of different types of miss-classifications, probabilistic three-way decisions are superior
to the other two.
order to obtain a minimum cost ternary classifier. This paper compares probabilistic three-
way decisions, probabilistic two-way decisions, and qualitative three-way decisions of the
standard rough set model. It is shown that, under certain conditions when considering the
costs of different types of miss-classifications, probabilistic three-way decisions are superior
to the other two.
Three-way decisions provide a means for trading off different types of classification error in order to obtain a minimum cost ternary classifier. This paper compares probabilistic three-way decisions, probabilistic two-way decisions, and qualitative three-way decisions of the standard rough set model. It is shown that, under certain conditions when considering the costs of different types of miss-classifications, probabilistic three-way decisions are superior to the other two.
Elsevier
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