- 更多网络例句与模糊集合相关的网络例句 [注：此内容来源于网络，仅供参考]
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These definitions are different from traditional one抯 for their dependence on the cardinal numbers and centroids of the two fuzzy sets. Then the method is used in designing a fuzzy controller to handle the problem cased by the fact that the input universe is not covered completely with the rule base.
给出了一种基于模糊集合相对基数的模糊集合距离度量方法，并给出一种基于模糊集合距离度量的模糊控制器实现方法，该方法能有效解决模糊控制器规则库不完备所引起的一系列问题。
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It overcomes all the errors and shortcomings of Zadeh's fuzzy set theory: it correctly reflects different kinds of fuzzy phenomena in the natural world; set complement exists on it; it has uniform calculating formulas for membership; it satisfies all formulas of the classical set theory and is consistent with classical and normal thinking, logic and concepts.
新理论能克服Zadeh模糊集合理论的三个缺点和两个错误；能正确地描绘客观世界的全部模糊现象；有补集；隶属度有统一的计算公式；并且是经典集合系统的特例，能满足全部经典集合的公式，与正常思维、逻辑和概念一致。
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It is also pointed out that the fuzzy controller implemented through this way can approximate any continuous real function.
摘要基于对模糊集基本特性的分析，提出了一种模糊集合的距离度量方法，与传统方法不同的是它不但与模糊集的质心有关，而且与模糊集的基数有关；其次讨论了如何基于这种距离的定义来实现模糊控制，并指出基于这种方法实现的模糊控制器可以逼近任意连续函数。
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By regarding fuzzy random variables as the particular case of measurable fuzzy setvalued functions and systematizing the achieved results [55～56] , opening further up the study, the paper introduces the concepts of complex fuzzy random variable, the distribution function and fall-shadow distribution function of complex fuzzy random variable, and investigates their fundamental properties.
6将动态模糊集合与模糊集值函数的概念推广到了动态复模糊集合和复模糊集值函数的情形，并且讨论了它们的若干基本性质
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Zadeh introduced fuzzy sets in 1965, a lot of new theories treating imprecision and uncertainty have been introduced.
Zadeh于1965年提出模糊集合的概念以来，大量的处理不确定性的理论陆续被提了出来，其中多数是对Zadeh的模糊集合理论的推广。
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Programming to derive fuzzy optimal solutions and fuzzy optimal classification function seta fuzzy set which value is fuzzy optimal classification function and member degree is λ(0≤λ≤ 1,therefore the linear fuzzy support vector machine is constructe...
对于非线性模糊分类问题，引入核函数，类似于线性模糊分类问题得到非线性模糊支持向量分类机。最后构造显示模糊支持向量分类机特点的模糊支持向量集取值为模糊训练点，隶属度为λ(0≤λ≤1的模糊集合。模糊支持向量分类机较好地解决了支持向量机中含有模糊信息的分类问题。
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A new concept of r-fuzzy nested set is presented and it is pointed a fuzzy probabilistic set is an equivalent class of a r-fuzzy nested set.
给出了一个新的概念γ-模糊集合套，指出模糊概率集可看作是γ-模糊集合套的等价类。
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On the basis of extending the concepts of the derived function, primitive function and integration of interval-valued function to complex interval-valued function and using the descomposition theorem of complex fuzzy set, the derived function, primitive function and integration of complex fuzzy set-valued function and some properties of them are proved.
2在国际上最先引入了复模糊集合与复模糊数的基本概念，证明了它们的基本代数运算的封闭性，并且其运算可通过α水平复集合的相应运算来进行
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Based on them, this paper proposes evaluation indexof fund performance from the aspect of finance, investor and interiormanagement. Considering the limitation of data envelopment analysis approach usedto evaluate fund performance, such as conventional DEA models can not considerinputs and outputs of evaluation units simultaneously, and an input-oriented DEAmodel and output-oriented DEA model often produce different evaluation results,this paper proposes a general form of DEA model which is input- andoutput-oriented by using multi-objective optimization and fuzzy set theory. Sincethe general form of DEA model can be transformed into a conventional input oroutput oriented DEA model by using special membership functions, it can beseemed as a nature extense of conventional DEA models, and a conventionalmodel can be regarded as a special case of DEA mdoel with general form.
针对现有基金绩效评价方法中较具优越性的数据包络分析方法的不足，如传统DEA模型不能同时综合考虑评价单元的输入和输出，以及分别采用面向输入和面向输出DEA模型评价基金绩效时，常常出现不一致的评价结果等，本文以多目标优化与模糊集合理论为工具，提出了一种能够同时面向输入和输出的DEA一般形式模型，并通过选择一些特殊的模糊集合隶属函数，使得这种DEA一般形式模型成为传统DEA模型的自然推广，而传统DEA模型是该模型的特殊形式。
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Therefore, a fuzzy inference algorithm is viewed as a mapping from one fuzzy set to another, Hamming distance formula is used as the computing distance between the two fuzzy sets.
为此，把模糊推理算法看成是模糊集合到模糊集合的映射，选用海明距离作为两模糊集的距离。
- 更多网络解释与模糊集合相关的网络解释 [注：此内容来源于网络，仅供参考]
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boolean logic：布林邏輯
模糊逻辑延伸布林逻辑(Boolean logic),而且采用一组隶属函数(membership function)将模糊集合中语意的元素对应到数字的值. 模糊隶属函数值代表一个元素属於一个模糊集合的程度,1这个值代表,所有元素都在这集合中,0这个值则代表这个元素不属於这个集合.
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characteristic function：特征函数
古典集合(classical set)将元素和集合的关系,以二元逻辑(binary logic)的特徵函数(characteristic function)定义如下:在离散(discrete)的情形下,模糊集合可表示成:而在连续(continuous)的情形下,模糊集合可表示成:陈昭宏(民87)以模糊转换法分析评量用词对问卷调查之研究中,
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confidence interval：信赖区间
成一个普通子集的特徵函数,A便成一个普通子集.模糊集合的高度(Height)是程度为1的模糊集合,称为标准化(Normalization)的模糊集合.模糊数乃为信赖区间(Confidence Interval)概念之扩充,结合可能性分析之α(Imprecision Numbers),
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fuzzy convex set：模糊凸集合
fuzzy convex hull 模糊凸包 | fuzzy convex set 模糊凸集合 | fuzzy core of representation 表现的模糊核心
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Fuzzy logic controller：模糊逻辑控制器
自从1965年美国加州大学的Zadeh教授创立模糊集合Fuzzy Sets理论及模糊数学(Fuzzy Logic Controller)以来,以其为基础的模糊逻辑控制器(Fuzzy Logic Controller),简称模糊控制器或FLC已广泛应用于各类工业过程的控制之中.
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fuzzy set：模糊集
为了与模糊集(fuzzy set)和粗糙集(rough set)相区别,经典集合(classicalset)也称为普通集合(common set)或清晰集合(crisp set),它可以表达清晰的概念,例如奇(iN)数、三角形、抛物线等,再比如在知识表达系统中,
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fuzzy set：模糊集合
Zadeh 在其论文>(Fuzzy Set) 中, 引入"隶属函数"这个概念, 用于描述差异的中间过渡, 首次成功地运用数学方法描述模糊词项, 标志着模糊理论的诞生.
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fuzzy set：模糊集合;乏晰集合;模糊集
Fuzzy scale 模糊等级 | Fuzzy set 模糊集合;乏晰集合;模糊集 | Fuzzy sliding mode control 模糊滑动模式控制
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Fuzzy set theory：模糊集合理论
模糊集合理论(Fuzzy Set Theory)在现今已被广泛的应用在各种不用的研究领域中,在智慧型系统上利用模糊的推论更是不计其数. 除此之外,还有模糊学习演算法(Fuzzy Learning Algorithms)、决策树(Decision Tree)也有学者利用模糊集合的概念.
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parametric representation：参数表示(法)
本文利用模糊集合中模糊数的截集参数表示法( parametric representation),去建构出直觉模糊集合中的直觉模糊数参数表示法( parametric representation),最后结合扩张原理,发现两个直觉模糊数的扩张后,仍然是一个直觉模糊数.