应用模糊子集的概念描述浅海区变性水团。
The modified water masses in the shallow sea area are represented with the concept of fuzzy subsets.
通过线性变换得出模糊聚类指标及模糊子集。
Index of fuzzy cluster and fuzzy subset can be obtained through linear transform.
将研究海区中的水团，视为论域中的模糊子集。
A water mass in the sea area under investigation is defined as a fuzzy subset in the discourse universe.
用抽样试验的方法实际求取模糊子集的从属函数。
The membership function of the fuzzy subsets can be actually obtained witha sampling survey method.
本文介绍了基于作用模糊子集推理的数字式单片机实现方法；
This paper presents the realizing method of the single chip microcomputer fuzzy controller, which is based on the functioning fuzzy subset inference.
本文针对TS模糊系统提出一种模糊子集和模糊规则的合并算法。
In this paper, merging algorithms of fuzzy subsets and rules are proposed to deal with ts fuzzy systems.
引入向量值模糊子集与向量值模糊子群的概念，并给出若干等价条件。
The concepts of VV fuzzy subset and VV fuzzy subgroup are introduced and some equivalent conditions are given.
通过建立模糊子集的隶属函数，来分析不同施肥方式的效应之间的数量差异。
The quantitative variation in the effects of different methods of fertilization is analysed by forming a membership function of fuzzy subsets.
在此基础上，提出共振区模糊子集的隶属函数的确定原则，给出了具体的确定方法。
On the basis of it, the principle of determining the membership function of the resonant region fuzzy set is proposed and the detailed method is given.
并通过计算和比较这些模糊子集的模糊度大小给出湖泊富营养化状态的评价等级判断。
The assessment grade of eutrophication state of lake is given by calculation and comparison of the fuzzy degree values of these fuzzy sets.
作者曾给出了模糊代数系的统一定义和一个代数系上的模糊子集是模糊子代数的充要条件。
In this paper, the definition of the fuzzy ideal of algebraic systems and the sufficient and essential condition that a fuzzy algebraic system is fuzzy ideal are given.
安全等级特征量及安全等级变量，均为安全等级取值论域上的模糊子集，而并非是一个确定的点。
Both characteristic quantity of safety grade and its variable are the value obtained from the fuzzy sub-set of safety grade on domain, and are not a definite point.
每个模糊变量包括一系列模糊子集和一个模糊向量，这个模糊向量用来描述这一系列模糊子集的隶属函数。
Every fuzzy variable consists of a series of fuzzy subsets and a fuzzy vector. The fuzzy vector is used to describe these series of fuzzy subset membership function.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
这种方法比传统的知识自动检测融合方法粒度更细、精度更高，可以检测出基于模糊子集精度的重复、冗余、矛盾、循环、交叉等规则；
This method checks knowledge with a more fine granularity and higher precision, and could find out the same rules, redundant rules, contradict rules and other conflict rules;
针对经典决策层融合检测过程中本地“硬”判决导致的信息损失问题，利用模糊子集理论，提出了一种基于模糊“软”判决的融合检测方法。
A novel fusion scheme is presented based on fuzzy sets, considering the problem of information loss resulting from local "hard" decision during the traditional decision layer fusion process.
本文将对一类非线性t - S模糊系统的非线性逼近能力进行研究，证明这种模糊系统在输入模糊子集为高斯型隶属函数的情况下，具有通用逼近性。
In this paper, we will study the nonlinear approximation of a kind of nonlinear T-S fuzzy system, and prove that when the fuzzy sets are Gaussian membership functions, it has universal approximation.
依据模糊模式识别的思想，建立了气测指标模糊模式识别储层含油性的标准模式，采用模糊子集贴近度及子集归类的择近原则，对待识别储层的含油性进行了识别，应用效果良好。
According to the ideas of fuzzy model diagnosis, we established a standard model which is used to identify the lubricity of reservoir with fuzzy model of gas logging index.
然后依据典型的模糊评价子集并利用择近原则进行模糊模式识别，判断出脚手架所处的安全状态。
According to the classic fuzzy evaluation subsets and near rule in fuzzy mode identification, the safety state of falsework can be determined subsequently.
介绍了模糊空值环境下的嵌入多值依赖、广义连接依赖、子集依赖，及其相应的公理系统。
This paper introduces embedded multivalued dependency, generalized join dependency, subset dependency under fuzzy null value circumstances and corresponding axiom.
模糊综合评价法通过建立和确定因子集、评价集、隶属函数和权重集等模糊集合，进行环境评价。
The fuzzy comprehensive evaluation method appraises environment by establishing and confirming gene subclass, estimation subclass, subject function and weighted subclass.
模糊综合评价法通过建立和确定因子集、评价集、隶属函数和权重集等模糊集合，进行环境评价。
The fuzzy comprehensive evaluation method appraises environment by establishing and confirming gene subclass, estimation subclass, subject function and weighted subclass.
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