Fuzzy sets and fuzzy logic are important mathematical tools for processing uncertain and vague information, which has been widely applied to approximate reasoning and so on.
模糊集与模糊逻辑是处理大量存在的不确定性与模糊性信息的重要数学工具，在近似推理等领域有着广泛的应用。
Group reasoning based on rough sets-combining uncertain information deployment method with group decision theory and method, is a new kind research area.
基于粗糙集理论的群体推理——即将不确定性信息处理技术与群决策理论与方法集成的研究，是一个崭新的研究领域。
In this ameliorative model, uncertain information has an effect on accuracy of reasoning conclusion. As a result, reliability of reasoning conclusion is improved.
在该模型中，不确定信息作用在推理结论的正确度上，提高了结论的可靠性。
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