Fuzzy理论在建筑设计方案评价中的应用

本文通过对建筑设计方案的评价原则及其指标体系的讨论,采用模糊数学的综合评判法,提出了定量化评价的方法,以图改变以往简单的、不够准确评价方式。     

随机模糊神经网络及在随机混沌时间序列预测中的应用

针对随机模糊神经网络(SFNN)的网络结构没有明确的物理含义，仅仅是一种实现随机模糊逻辑系统的计算结构的问题，对其网络结构进行了改进，重新定义了每层的节点原型。改进后每层之间的物理含义明确且节点数目减少，从而计算量有所减少。对于SFNN的参数和结构，可以分别通过参数学习算法和结构学习算法来优化。将SFNN用于随机混沌时间序列预测，仿真结果表明：该系统由于引入了随机的概念，使网络能更有效地防止噪声的干扰，因而更适合于工程应用。     

人才管理中的模糊决策分析

人才管理中的模糊决策分析范荣华，周绍杰（武汉军事经济学院４３００３５）（湖南常德教育学院４１５０００）ＦｕｚｚｙＤｅｃｉｓｉｏｎ－ＭａｋｉｎｇＡｎａｌｙｓｉｓｉｎＰｅｒｓｏｎｎｅｌＭａｎａｇｅｍｅｎｔＦａｎＲｏｎｇｈｕａ（ＷｕｈａｎＭｉｌｉｔａｒｙＥ...     

模糊控制器的应用

通过介绍模糊控制器在日、美、中等国的若干应用实例，说明模糊技术实用化的进展状况．     

强酸和强碱中和过程的PH控制

讨论了强酸、强碱中和过程ＰＨ控制方案。以０．９ｍｏｌ／Ｌ的ＮａｏＨ中和０．９ｍｏｌ／Ｌ的ＨＮＯ３，流量增量为０．１－０．３ｋｇ／ｍｉｎ，用模糊控制将ＰＨ控制在各要求的值上，ΔｐＨ≤０．２，获得满意的结果。     

On-line Tool Wear Classification in Unmanned-machining Environments

One of the most important features of the modern ma ch ining system in an “unmanned“ factory is to change tools that have been subjec ted to wear and damage. An integrated tool condition monitoring system composed of multi-sensors, signal processing devices and intelligent decision making pla ns is a necessary requirement for automatic manufacturing processes. An intellig ent tool wear monitoring system will be introduced in this paper. The system is equipped with power consumption, vibration, AE and cutt...     

模糊控制实现温度调节方法的应用研究

提出了模糊控制器的模型和模糊算法，并把它应用到温度控制系统中去，得到了良好的控制效果。     

A role—Based Fuzzy Assignment Model

It's very important to dynamically assign the tasks to corresponding actors in workflow management system, especially in complex applications. This improves the flexibility of workflow systems. In this paper, a role-based workflow model with fuzzy optimized intelligent assignment is proposed and applied in the investment management system. A groupware-based software model is also proposed.     

“不精确概念的表示理论”一文中两个命题的修正

指出了“不精确概念的表示理论 (Ⅰ ) ,(Ⅱ )”一文中命题 3.3中性质 5 ,X≈αR Y XUYC=U ,X∩YC=Φ和命题 2 .1存在的 2个错误 ,并给出了相应的修正 .     

A Novel Robust Adaptive Fuzzy Controller

For a class of continuous-time nonlinear system, a novel robust adaptive fuzzy controller is proposed by using of Lyapunov method. It is proven that the control algorithm is globally stable, the output tracking-error can convergence to a domain of zero under the assumptions. As a result, the system controlled has stronger robustness for disturbance and modeling error.