A fuzzy set-valued information system (FSVIS) refers to an information system (IS) whose information values are fuzzy sets. This article investigates information structures (ISts) in a FSVIS based on granular computing (GrC). First, FSVISs and homomorphism between them are introduced. Next, ISts in a FSVIS are described. The dependence and information distance between ISts are discussed, and characterizations of ISts in a FSVIS are acquired. Additionally, as an application of ISts in a FSVIS, the entropy measure of uncertainty for a FSVIS is discussed, and on the basis of this uncertainty measure, the optimal selection of ISts is investigated. The obtained consequence will be conducive to establishing a framework for GrC in a FSVIS. Last, the difference between this paper and the references for ISts in this paper is compared and discussed.

模糊集值信息系统（FSVIS）是指信息值为模糊集的信息系统（IS）。本文研究基于粒度计算（GrC）的FSVIS中的信息结构（ISts）。首先，介绍了FSVIS和它们之间的同态性。接下来，描述FSVIS中的ISt。讨论了ISts之间的依赖关系和信息距离，并获取了FSVIS中ISts的特征。此外，作为ISts在FSVI​​S中的应用，讨论了FSVIS不确定性的熵度量，并在此不确定性度量的基础上，研究了ISts的最佳选择。获得的结果将有助于在FSVI​​S中建立GrC框架。最后，对本文与ISts参考文献之间的差异进行了比较和讨论。