Rough set model based on Sugeno measure

Probabilistic rough set model has a wide range of applications in uncertain information system. However, the probabilistic rough set model is based on the probability measure, which satisfies countable additivity. Considering the existence of many non-additive set functions in practical applications, rough set model based on the Sugeno measure is proposed. Moreover, the properties, the definition of roughness, together with the approximation accuracy of the proposed rough set model are provided.