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- fuzzy interval value function 数项级数
- Infinite Integral and its Covergence on Interval Value Function 区间值函数的无穷积分及其收敛性
- On Linear, Surface integral and Nature of the Interval Valued Function 区间值函数的线、面积分及其性质
- interval value function [计] 区间值函数
- fuzzy interval valued numbers 模糊区间数
- Assign a starting value and an interval value for renumbering. 为重新编号指定起始值和间隔值。
- To facilitate the processing of fuzzy information, trapezoidal LR-type fuzzy interval is employed. 并使用梯形LR模式的模糊区 间,以方便处理模糊资讯。
- You can assign a different start value and interval value to each tag format. 您可以为每个标记格式指定不同的起始值和间隔值。
- If you call it with an interval value of zero, the timer will deactivate. 如果你设置它的值为零,则定时器将不起作用。
- interval valued function 区间值函数
- When the domain of interval valued fuzzy sets is discrete, a method of linear interpolation about it is provided, making it become continuous. 区间值模糊集论域为离散时,将其线性插值为连续,然后给出论域为离散情况下的模糊推理方法。
- lattice interval value Fuzzy set 格区间值Fuzzy集
- Fuzzy integral of generalized real value function 广义实值函数的模糊积分
- If specified, value is interpreted as the required interval value, and can be a value from 10 to 28,800. 如果指定了value,则将其解释为所需的间隔值,可以是从10到28,800的一个值。
- The Infinite Integral of Fuzzy Value Function 模糊值函数的无穷积分
- You can call it either at the initial page request or during an AjaxCall to initiate it or change the interval value. 你也能在调用它的请求页面开始之前或在AjaxCall期间改变定时器的值。
- The continuity of the value function and the HJB equation that the value function satisies are discussed. 讨论约束条件的描述,最优投资问题值函数的连续性,以及值函数所满足的HJB方程。
- If the registry parameter already exists, to increase the maximum heartbeat interval value, right-click MaxClients, and then click Modify. 如果注册表参数已存在,若要增加最大检测信号间隔值,请右键单击MaxClients,然后单击修改。
- In this article we construct extended fuzzy measure on fuzzy intervals, fuzzy numbers and cartesian product of fuzzy intervals and derive fuzzy measure space. 摘要本论文建构在模糊区间,模糊数和模糊区间的卡氏积上的扩张模糊测度并推导出模糊测度空间。
- An S-shaped value function and a nonlinear weighing function were employed by the prospect theory to explain and predict the framing effect. 期望理论运用S状的价值函数和非线性的权重函数来解释和预测框架效应。