Secondly, a system of constructing fuzzy concept lattice is implemented.
其次，实现模糊概念格的构建系统。
Next, a fast fuzzy conceptual clustering algorithm is proposed to cluster the fuzzy concept lattice into conceptual clusters.
接下来，快速模糊概念聚类算法，提出集群的模糊概念格为概念集群。
Next, a fast fuzzy conceptual clustering algorithm is proposed to cluster the fuzzy concept lattice into conceptual clusters.
提出了一种在格的拓扑序列上进行概念聚类的快速算法，并且定义了概念聚类间基于偏序的层次关系。
First, fuzzy formal concept analysis introduces the fuzzy logic into formal concept analysis to construct fuzzy concept lattice.
首先，模糊形式概念分析将模糊逻辑嵌入形式概念分析以构成模糊概念格。
The formal concept definitions of grid and resource are given and the fuzzy concept lattice for the grid resources is constructed.
给出了网格、资源的形式概念定义，构造了网格资源模糊概念格。
Secondly, we studies the reduction of a fuzzy concept lattice in a fuzzy context by employing the variable precision concept under various precisions.
第二部分利用变精度概念格研究不同精度下的模糊概念格约简。
The method includes a process of fuzzy attribute computation and a construction algorithm for fuzzy concept lattice, which can ensure a complete and non-redundant lattice.
该方法包括模糊属性的采集过程以及相应的模糊概念格的构造算法。
Using fuzzy set theory, the concept of a fuzzy power lattice is introduced, some properties of the fuzzy power lattice and its fuzzy ideal are obtained, some results of lattice are generalized.
利用模糊集理论，引入了模糊幂格的概念，获得了模糊幂格及其模糊理想的若干基本性质，推广了格的结果。
The condition for a fuzzy neural network to realize memory is discussed, and the concept of lattice point is given.
讨论了一种模糊神经网络实现记忆的条件和记忆的特点，并给出了样本组格子点分布的概念。
In this paper the lattice spot theory for moment-method solution is presented. A new concept of fuzzy surface element is introduced. Some numerical results are given.
本文介绍了格点理论在矩量法中的应用。引入了格点的模糊面积元概念。文中还给出了数据实例。
In this paper the lattice spot theory for moment-method solution is presented. A new concept of fuzzy surface element is introduced. Some numerical results are given.
本文介绍了格点理论在矩量法中的应用。引入了格点的模糊面积元概念。文中还给出了数据实例。
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