In order to getting the effective training data of chemical engineering modeling, two algorithms that fuzzy C-means and fast global fuzzy C-means clustering were used.
分别采用模糊c -均值聚类方法和快速全局C -均值聚类两种算法实现化工建模所需训练数据的有效提取。
A fuzzy relational data model with fuzzy attributes, which could be used for truly modeling various fuzzy objects in the real world, is presented in the paper.
本文提出了一种属性具有模糊度的模糊关系数据库模型，它可用来描述现实世界中范围广泛的模糊对象。
In order to enhance the ability of modeling fuzzy phenomena, the fuzzy set theory is introduced into GIS, which produces fuzzy spatial data.
为了描述空间数据的模糊性，把模糊集理论引入GIS，以加强GIS对模糊现象建模的能力，因而产生了模糊数据。
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