This paper analyses the stability of absolute membership degree , and determines the final results to calculate limited water level 选取三个汛期至非汛期的过渡区间，对其隶属度进行稳定性分析，确定最终的汛期隶属度。
This chapter introduces the origin of the fuzzy theory , the meaning of fuzzy set , the membership function and some basic conceptions 本章介绍模糊理论由来、模糊理论简介、及模糊集合与隶属度函数基本概念与一些重要性质。
In this research , a new algorithm named fuzzy correlation coefficient was brought up to construct gene regulatory network 我们在已有的三种相关系数的基础上，借鉴模糊隶属度思想，提出一种新的模糊相关基因表达调控网络构建算法。
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。
But in fact , the edge of things are not accurate , so we introduced the concept of membership function to denote the deepness of element x belongs to set a 但现实生活中，事物的界限往往是不清晰的。我们就用隶属度来表示元素x隶属与集合a的程度。
With the help of concatenated - encoding method , the parameters of fuzzy rules and membership functions can be simultaneously optimized by this improved iga 在模糊规则和隶属度函数联合编码基础上，通过上述改进型免疫遗传算法实现模糊控制器参数的同步优化。
Considered the maximum subordination principle would lost too many information , the author put forward the validity of the maximum subordination principle 对于评价结果考虑到最大隶属度原则，损失信息较多，可能导致有效度不高，作者提出了最大隶属有效度检验原则。
As the evaluation result is the subordinate degrees of the evaluated meadow that belong to different grades respectively , the meadow resources in a same grade can be compared further 由于评价结果是评价对象分别属于各个不同等级的隶属度，因此，同一等级的草地还可以进一步比较。
By the model knowledge is expressed as fuzzy membership matrix , it is convenient for use of relation database system and decision of alternative plans 将加工方案选择知识以模糊隶属度矩阵的形式表达，便于采用关系数据库存储，推理过程通过模糊关系运算实现，便于多加工方案的决策。
It can be considered as a generalization of the ordinary weights of evidence method , which is used to predict the occurrence of point events with known evidences and training layers 它是一种更广泛的证据权方法，与普通证据权方法所不同的是，它的训练层是模糊集合，其取值是它的隶属度。
