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。
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.
这里提出的方法是仅根据模糊图像本身，求出确定系统点扩散函数（PSF）的重要参数-模糊距离。
The solution proposed here identifies important parameters with which to characterize the point spread function (PSF) of the blur, given only the blurred image itself.
通过计算交点坐标值，计算评定点到曲线距离和隶属函数求解建立缺陷模糊评定模型。
Calculating the intersection coordinate, calculating the distance between assessment point and curve, and resolving the membership function established the defect fuzzy assessment model.
应用推荐