grade of membership meaning in Chinese
隶属度
Examples
- Triangle - shape grade of membership function
三角形隶属度函数 - Construction of the model of rough sets with the grade of membership and weight
带隶属度及权重的粗糙集模型的构建 - That method builds up comprehensive evaluation model of many index signs ; the adoption grade of membership functions to carry out a description towards evaluating index sign
该方法建立多指标综合评价模型，采用隶属度函数对评价指标进行了描述。 - At the same time , in order to investigate to distill a new method of useful information of a database , data processing methods of using neural network and fuzzy math are specially investigated . a new thought of speedy and accurate forecasting data is advanced to use bp and rbf network . and applying fuzzy math in series with neural network distills the grade of membership value of data
同时，为了研究从数据库中提取出有用的信息的新方法，专门对采用神经网络和模糊数学方法处理数据进行了研究，提出了何时采用bp和rbf网络进行快速、准确预测数据的新思路，以及通过模糊数学和神经网络的串联，来提取数据中的隶属度值的新方法。 - The article introduces the basic concepts and common methods of fuzzy mathematics , initially discussing the applications of fuzzy mathematics in the following aspects : 1 ) division of " skidding " strata with grade of membership that are drilled with diamond bits ; 2 ) comprehensive evaluation on the application in evaluation of diamond bits , classification of rock drillability , and evaluation of clay ; 3 ) classification of " hard rock " through fuzzy clustering analysis ; 4 ) estimation of completion time of boreholes and evaluation of underg round water with fuzzy mathematics ; 5 ) identification of new ore areas and option of best water resource area with fuzzy model ; 6 ) option of diamond bits and evaluation on oil field development plan with fuzzy resemble option and the improved calculation method ; ? ) prediction of mud slurry performance and of the amount of surging water in ore pits with fuzzy control ; 8 ) comprehensive evaluation of diamond bits and supporting plan of deep foundation pit with fuzzy optimal theory
初步探讨了以下几方面的应用： 1 )用隶属度划分金刚石钻进“打滑”地层； 2 )综合评判在金刚石钻头评价、岩石可钻性分级及钻探造浆粘土评价中的应用； 3 )用模糊聚类分析进行“硬岩石”分类； 4 )用模糊数进行钻孔竣工时间预估及地下水质评价； 5 )模糊模式识别在新矿区类型识别和最佳水源地选择中的应用； 6 )模糊相似选择及其改进算法在金刚石钻头选择和油田开发方案评价中的应用； 7 )模糊控制在泥浆性能和矿坑涌水量预测中的应用； 8 )优化理论模型在金刚石钻头和深基坑支护方案综合评价中的应用。