Uncertainty measurement (UM) can offer new visual angle for data analysis. A fuzzy set-valued information system (FSVIS) which means an information system (IS) where its information values are fuzzy sets. This article investigates UM for a FSVIS. First, a FSVIS is introduced. Then, the distance between two information values of each attribute in a FSVIS is founded. After that, the tolerance relation induced by a given subsystem is acquired by this distance. Moreover, the information structure of this subsystem is brought forward. Additionally, measures of uncertainty for a FSVIS are explored. Eventually, to verify the validity of these measures, statistical effectiveness analysis is carried out. The obtained results will help us understand the intrinsic properties of uncertainty in a FSVIS.

不确定度测量（UM）可以为数据分析提供新的视角。模糊集值信息系统（FSVIS），是指其信息值为模糊集的信息系统（IS）。本文研究了FSVIS的UM。首先，介绍了FSVIS。然后，建立FSVIS中每个属性的两个信息值之间的距离。之后，通过该距离获取给定子系统引起的公差关系。此外，提出了该子系统的信息结构。此外，还探讨了FSVIS的不确定性度量。最终，为了验证这些措施的有效性，进行了统计有效性分析。获得的结果将有助于我们了解FSVIS中不确定性的内在属性。