粒关系演算：关系计算与数据的桥梁

Granular Relational Calculus:At the Junction of Computing with Relations and Data

摘要:

粒计算及其理论，尤其是模糊集，为处理概念实体信息粒提供了全面的概念框架和处理机制，但现有的信息粒处理机制不能充分利用实验数据的特征。基于粒计算推导出的理论来增强关系计算和模糊关系计算的基本结构。认为可以通过结合现有数据所控制的描述性组件来增强关系演算领域中的规范性结构。实验表明，合理粒度原则有助于增强现有结果，并将实验结果以信息粒的形式进行了展示。

Abstract:

While granular computing， in particular fuzzy sets， offers a comprehensive conceptual framework of managing conceptual entities-information granules with the processing mechanisms provided by fuzzy sets， this mechanism does not fully engage experimental data whose characteristics could be fully incorporated in the obtained results. Having this in mind， the fundamental constructs of relational computing and fuzzy relational computing were augmented by mechanisms originating from the area of granular computing. It is advocated that the prescriptive constructs existing in the area of relational calculus are augmented by incorporating a descriptive component， which is governed by the existing data. It is shown that the principle of justifiable granularity helps enhance the existing results by experimental evidence residing with the data and develop the results in the form of information granules.