| 1. | Last , we synthesize all local optimal solutions and receive product design scheme through fuzzy membership degree method
最后通过模糊隶属度的方法将各局部最优方案进行综合,得到一个产品设计方案。 |
| 2. | By the model knowledge is expressed as fuzzy membership matrix , it is convenient for use of relation database system and decision of alternative plans
将加工方案选择知识以模糊隶属度矩阵的形式表达，便于采用关系数据库存储，推理过程通过模糊关系运算实现，便于多加工方案的决策。 |
| 3. | A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed , and an evolution strategy is used to modify the fuzzy membership functions of the system
摘要提出一种面向城域单交叉路口的自适应分级模糊控制系统，采用进化策略对分级模糊控制器的模糊隶属度函数进行离线优化调整。 |
| 4. | Using gaussian fuzzy membership functions in conjunction with the least - squares principle , a novel approach is developed for intelligent fuzzy modeling and adaptive control strategy of uncertain chaotic system
利用高斯模糊隶属函数和最小二乘法，在无需求解系统不动点的情况下，可将混沌运动镇定到任意指定目标位置。 |
| 5. | The dissertation builds the original feature set , fuzzy memberships and weights of small stamping die , which provides basic principle and method to resolve the practical problem . 3
以冲裁模为研究对象，建立其初步的特征工件集合、模糊相似关系和权值，提供了解决这一实际问题的基本原则和方法，从理论上解决了模糊相似比较法的报价方法问题。 |
| 6. | This paper introduces an evading obstacles method of mobile robot which is in an uncertain environment , and the mobile robot can evade the obstacles detected by means of fuzzy control algorithm , which adopts fuzzy membership function with real physical content
摘要阐述了在不确定环境下，机器人通过在探测过程中采用基于实际物理意义的隶属函数的模糊算法来躲避障碍物的方法。 |
| 7. | The paper analyzed the relationship of the scale factors and several main performance indexes of the system ' s respond curve like over - regulation , divergence , surge - degree , steady - state error and transient time , and denoted these indexes by some fuzzy membership functions
温室温度响应的主要动态性能指标包括：超调量、系统发散程度、系统振荡程度、稳态误差、过渡过程时间等。 |
| 8. | Then employing neural networks learning techniques , fuzzy logic rules , input - output fuzzy membership functions and weights in networks can be easily tuned . so rule matching is reduced , inference process is accelerated , adaptability of the system is greatly improved
再利用神经网络学习能力便很容易修改规则库中的模糊规则以及隶属函数和网络权值等参数，这样大大减少了规则匹配过程，加快了推理速度，从而极大程度地提高了系统的自适应能力。 |
| 9. | The fuzzy layer of the hybrid fnn include two kinds of neurons , one is gaussian fuzzification neuron which used to give the continuous input an fuzzy membership value , another is a presented fuzzy cluster neuron which also used to give the discrete input an fuzzy membership value
该混合模糊神经网络的模糊化层除了具有模糊化神经元，还加入一类模糊聚类神经元。模糊聚类神经元通过预先计算的模糊聚类隶属度矩阵来输出对应于离散输入的模糊化值。 |
| 10. | In chapter 6 we research on a denoising technique through shrinking the wavelet coefficients adaptively , then fuzzy membership in fuzzy mathematics is introduced to put forward wavelet fuzzy snr to evaluate quality of sar images based on it . experiment results and academic analyses show its efficiency
第六章研究了小波系数自适应收缩算法抑制斑点噪声，在此基础上引入模糊数学中隶属度的概念，提出了一种新的评估sar图像质量的指标一小波模糊信噪比。 |
