在交通调查中，可利用模糊聚类分析将交通分区按工业、居住、公建、道路绿化广场等各项用途来进行分类。
In traffic investigation, traffic sub-areas are classified by fuzzy cluster analysis through such USES as industry, residence, construction and road green plaza.
运用模糊综合评判的方法对研究区内地质灾害危险性进行了定量评价并进行了综合分区评价。
Utilized the fuzzy synthesis judgment the method to study in the area the geological disaster risk to carry on the quantitative evaluation and to carry on the comprehensive district appraisal.
本文从不同树种、不同时间、空间的分布出发，应用模糊聚类分区模型先对样本进行分类，以便确定有关参数。
The article applies fuzzy gathering distribution model and distribute species from different trees, time and space decides on the related parameter.
本文将灰色预测与模糊综合评判相结合，解决地下水质管理和水质规划中的分区问题。
In this paper, the grey forecasting is united with the fuzzy synthetic assessment to determine the regional classification problem for the regulation and planning of groundwater quality.
利用所选取的变量，模糊c均值聚类算法可以较好地进行管理分区划分。
The results revealed that fuzzy c-means clustering algorithm could be used to delineate management zones by using the given variables.
为此，进一步提出，Fuzzy - PI(或PID)控制算法和改进控制分区策略的模糊控制算法。
Thus the FUZZY-PI (or PID) control algorithm and the fuzzy control algorithm with improved sectional control strategy are presented.
针对分区间检测法临界点处的跳跃问题，利用模糊神经网络理论进行了探讨，基本解决了临界点处的跳跃问题。
To overcome the problem of the angle's jumping on some critical points, the paper discussed it by using fuzzy neural network theory and solved it basically.
为了对压力容器的缺陷进行模糊评定，需要为通用失效评定曲线组成的安全评定区域进行梯度分区。
To fuzzy assess to defect (s) of pressure vessel, it is necessary that security area, that is structure by the currency failure assessment curve, is divided on gradient.
如各分区间活动相互干扰、分区的面积设置较不合理、空间界限模糊等。
Activities such as mutual interference between the district, zoning to set a more reasonable size, spatial blurring.
利用两个聚类效果评价指标模糊效果指数FPI和归一化分类墒NCE，确定了最适宜的分区数。
Performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimum cluster number.
利用两个聚类效果评价指标模糊效果指数FPI和归一化分类墒NCE，确定了最适宜的分区数。
Performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimum cluster number.
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