averaging operator

英 [ˈævərɪdʒɪŋ ˈɒpəreɪtə(r)] 美 [ˈævərɪdʒɪŋ ˈɑːpəreɪtər]

网络  平均算子

计算机



双语例句

  1. Induced ordered weighted averaging operator ( IOWA) that is widely used, is a new information aggregating operator.
    诱导有序加权平均算子是一种新的信息集结算子,用途非常广泛。
  2. The Ascending Ordered Weighted Euclid Averaging Operator and Its Application to Decision Making
    上升有序加权欧氏平均算子及其在决策中的应用
  3. The method of decision based on uncertain extended ordered weighed averaging ( UEOWA) operator was given under incomplete linguistic information.
    给出了不完全语言信息下基于不确定扩展有序加权平均算子的决策方法。
  4. With regard to multiple triangle fuzzy number aggregation problems, a new Fuzzy Ordered Weighted Averaging ( FOWA) operator is proposed.
    针对多个三角模糊数的集结问题,提出一种新的模糊有序加权(FOWA)算子。
  5. Each decision makers linguistic evaluation indexed of every alternative are determined with convex combinations of lables, which are aggregated into group's indexes of every alternative with linguistic ordered weighted averaging operator.
    用语言标签的凸组合确定各决策人各方案的语言评价指标,用语言有序加权平均确定群体对各方案的排序。
  6. Combination Forecasting Model Based on Correlation Coefficients and Induced Ordered Weighted Averaging ( IOWA) Operator
    基于相关系数的IOWA算子最优组合预测模型
  7. A fuzzy induced ordered weighted averaging ( FIOWA) operator is defined, and a fuzzy ( linguistic) scale for the comparison between two alternatives is given.
    定义一种模糊的导出有序加权平均(FIOWA)算子,给出方案之间比较的模糊语言标度。
  8. A Priority Method Based on Induced Ordered Weighted Averaging ( IOWA) Operator for Fuzzy Linguistic Preference Matrices
    基于IOWA算子的模糊语言偏好矩阵排序方法
  9. Uncertain ordered weighted averaging ( OWA) operator and its application to group decision making
    一种不确定型OWA算子及其在群决策中的应用
  10. A Fuzzy Ordered Weighted Averaging ( FOWA) Operator and Its Application
    一种模糊有序加权(FOWA)算子及其应用
  11. Method Based on Fuzzy Linguistic Judgement Matrix and Fuzzy Induced Ordered Weighted Averaging ( FIOWA) Operator for Decision-Making Problems with a Limited Set of Alternatives
    基于模糊语言判断矩阵和FIOWA算子的有限方案决策法
  12. Combined weighted geometric averaging operator and its application
    一种组合加权几何平均算子及其应用
  13. In this paper we apply the theory of Markov chains to prove the converse to the mean value theorem for harmonic functions. And in a λ-Holder space we derive convergent rate of n-fold convolution of averaging operator.
    该文利用Markov链的理论证明了调和函数均值定理的逆.并在某λ-Holder空间中得到了一类平均算子n重卷积的收敛速度。
  14. Density weighted averaging middle operator and application in multi-attribute decision making
    密度加权平均中间算子及其在多属性决策中的应用
  15. Ordered weighted averaging ( OWA) operator is a kind of information fusion method, which has been developed in recent years and used in a wide range of applications.
    有序加权平均算子是近年来发展的在许多领域有着广泛应用的信息融合方法。
  16. Combined forecasting model based on induced ordered weighted averaging operator and its application
    诱导有序加权平均的组合预测模型及其应用
  17. Some operational laws of linguistic variables are defined and a new aggregation operator, linguist induced ordered weighted geometric averaging operator ( LIOWG) is developed and its properties is studied.
    定义了一些语言变量的运算律,并且提出了语言导出有序加权几何平均算子(LIOWG).研究了它的性质。
  18. Based on the ordered weighted averaging ( OWA) operator, the authors propose an aggregate one called ascending ordered weighted Euclid averaging ( AOWEA) operator, which has such desirable properties as monotonicity and commutativity.
    提出了一种上升有序加权欧氏平均(AOWEA)算子,详细研究了它的一些优良性质,如:单调性、置换不变性等。
  19. The ordered weighted averaging ( T-OWA) operator for two-tuple linguistic information is described.
    首先描述了二元语义信息集结的有序加权平均(T-OWA)算子,并提出一种有序加权几何(T-OWG)算子;
  20. Then, the information of the bargaining interval and bargaining value is integrated by utilizing the induced ordered weighted averaging ( IOWA) operator. The problem to choice the weighted vector of the IOWA operator is also discussed.
    然后利用所导出的有序加权平均(IOWA)算子对各类信息的协商区间和协商值进行集成,并对如何选取IOWA算子加权向量的问题进行了讨论。
  21. The ordered weighted averaging ( OWA) operator is briefly described firstly, then it is used in the multisensor attribute information fusion. Based on the OWA operator, an attribute fusion model is introduced.
    将OWA算子引入到多传感器信息融合领域中来,建立了基于OWA算子的两级式多传感器属性信息融合模型。
  22. In this paper, we study the multi attribute group decision making problems in which the elements in decision matrices are given in the forms of fuzzy linguistic assessments, and give a linguistic ordered weighted averaging ( OWA) operator of the fuzzy linguistic assessments.
    研究决策矩阵的元素以模糊语言形式给出的多属性群决策问题,给出一种语言OWA算子。
  23. After that, when the attribute values are linguistic variables, we utilize the linguistic weighted averaging ( LWA) operator to aggregate the given linguistic decision information, and then rank the alternatives and select the most desirable one ( s);
    然后对于情形1),利用语言加权平均(LWA)算子,对语言决策信息进行加权集成,继而对方案进行排序和择优;
  24. Focusing on fuzzy and stochastic characteristics of investors 'multiple mental accounts, weights are described by introducing the ordered weighted averaging ( IOWA) operator.
    针对投资者多心理账户的模糊性和随机性特征,引入诱导有序加权平均(IOWA)算子描述投资者心理账户的权重确定过程;
  25. The problem of uncertain linguistic information aggregation is investigated. The continuous ordered weighted averaging ( COWA) operator and continuous ordered weighted geometric ( C-OWG) operator are extended to accommodate uncertain linguistic environment.
    研究了不确定语言信息的集成问题,把连续的有序加权平均(C-OWA)算子和连续的有序加权几何(C-OWG)算子扩展到不确定语言环境之中。
  26. The weighted averaging operator and the ordered weighted averaging operator for linguistic distribution assessments are presented.
    提出了语义的分布评价的加权平均算子和OWA算子。
  27. The image possessing technology based on path recognition robot visual navigation is analyzed in this paper by neighborhood averaging, canny operator, histogram peak and valley method in order to deal with the camera image in denoising, edge extraction, and threshold value selection.
    对基于路径识别的机器人视觉导航所需要的图像处理技术进行了分析,利用邻域平均法、Canny算子、灰度直方图峰谷法分别对摄像头捕获的图像进行去噪、边缘提取、及阈值选择等处理。
  28. The basic theory of two-tuple linguistic information, the definition and calculation methods of the ordered weighted averaging ( T-OWA) operator were introduced.
    对二元语义的基本理论知识进行了介绍,给出了T-OWA算子的定义和计算方法。
  29. The problem is described as attribute weights with linear inequation, and a multi-variable Induced Ordered Weighted Averaging ( MIOWA) operator is proposed to solve the problem.
    将该问题提炼为属性权重为线性不等式不完全信息的综合评价问题,提出了一个基于多维诱导有序加权平均(MIOWA)算子的信息集结方法。