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Uncertainty measure is an important tool for analyzing imprecise and ambiguous data. Some information entropy models in rough set theory have been defined for various information systems. However, there are relatively few studies on evaluating uncertainty in fuzzy rough set. In this paper, we propose a new complement information entropy model in fuzzy rough set based on arbitrary fuzzy relation, which...
In order to measure fuzzy uncertainty of fuzzy rough set, a cross fuzzy entropy (CFE) measuring method based on the notion of rough membership in fuzzy rough set is defined combing with the analysis of fuzzy entropy in fuzzy set, the relative properties are analyzed. This method can not only measure fuzzy uncertainty of fuzzy rough set, but also indirectly reflect rough uncertainty contained in data...
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