The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
介绍模糊数学的基本概念，建立了用于缺陷模糊模式识别的两种数学模型，即模糊集法与模糊聚类法。
Fuzzy cluster is the kernel among them. Pattern recognition and optimum decision are developed by fuzzy cluster.
其中模糊聚类是核心，模糊识别与优选决策模型均由模糊聚类导出。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
The theory of fuzzy cluster, recognition and optimum decision is the mathematical basis of optimum fuzzy set of system.
模糊聚类、识别与优选是系统优化模糊集分析理论的数学基础。
The theory of fuzzy cluster, recognition and optimum decision is the mathematical basis of optimum fuzzy set of system.
模糊聚类、识别与优选是系统优化模糊集分析理论的数学基础。
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