Fuzzy constraint functions are set up according to static analysis, dynamic analysis and properties analysis of belt conveyor.
通过对输送机进行静动态分析和性能分析，建立了模糊约束函数。
In this paper, the minimum cost flow problem with fuzzy constraint is proposed for the first time, and the corresponding mathematical model is constructed.
本文首次提出了带模糊约束的最小费用流问题，建立了相应的数学模型并给出了求解这一模型的有关算法。
According to vehicle characteristics can not be extracted at night, a vehicle classification method based on improved fuzzy constraint satisfaction approach is proposed.
根据夜间运动车辆识别中存在的无法提取有效的车辆特征，提出了一种改进后的模糊约束满足的夜间运动车辆分类方法。
According to the relations between the objective function and the constraint function, the fuzzy optimization can fall into tow categories about symmetry and unsymmetry.
根据模糊目标函数与模糊约束函数的关系，模糊优化问题可以分为对称和非对称两种类型。
According to the sense of fuzzy satisfactory degree, the values of soft constraint and infinite norms of related vectors are transformed into satisfactory degree.
在模糊满意度的意义下，将软约束和有关向量无穷范数的取值转换为满意度。
According to the uncertainty feature of the objective function and the constraint conditions, the theory and method of structure fuzzy random optimization design are introduced.
根据混凝土面板堆石坝结构设计问题中目标函数和约束条件所具有的不确定性性质，阐述了结构模糊随机优化设计的理论和方法。
A stochastic programming model with fuzzy chance constraint is presented which has stochastic and fuzzy parameters.
提出一类模糊机会约束的随机期望值规划模型，该模型同时含有随机和模糊参数。
A new degraded image restoration algorithm which USES adaptive smoothness constraint based on fuzzy functions is used, is proposed.
为了在抑制噪声的同时保护图像的细节，提出了一种基于模糊函数的自适应平滑约束图像复原算法。
Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.
同时改进了现有的直觉模糊聚类算法中的概率型约束条件，使其对噪声和野值点具有较好的鲁棒性。
A stochastic programming model with fuzzy chance constraint is presented which has stochastic and fuzzy parameters. Improved paper-boy problem demonstrates that the programming model is reasonable.
提出一类模糊机会约束的随机期望值规划模型，该模型同时含有随机和模糊参数。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
Moreover, given the influence of generation rate constraint (GRC) or alteration of parameters, the Fuzzy Neural Network (FNN) is used to control the ACE.
考虑到出力调节速率约束或系统参数改变对控制效果的影响，本文进一步采用模糊神经网络对系统加以控制。
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
应用推荐