模糊理论在房产交易平台上的应用研究

针对购房者购房因素的模糊性,通过研究模糊理论与清晰条件的关系,给出了房产交易中的容忍度、隶属函数和门槛值等.     

Observer-based method for synchronization of uncertain fractional order chaotic systems by the use of a general type-2 fuzzy system

Synchronization of the fractional order chaotic systems is extensively studied in recent years due to its potential applications in many branches of science and engineering. The main problems in this field are that the dynamics of the system in hand are often uncertain and are perturbed by external disturbances. Also the unknown nonlinear functions in the system dynamics are generally complicated and in many practical applications we have measurement errors and unavailable states. In this paper, a novel robust and asymptotically stable controller is proposed to synchronize uncertain fractional order chaotic systems. Its design is based on linear matrix inequality (LMI) technique. Furthermore, an observer is presented to estimate the unavailable states. A general type-2 fuzzy system (GT2FS) based on α-plane representation with Gaussian secondary membership functions (MF) and type-2 non-singleton fuzzification is proposed to approximate the unknown complex nonlinear functions in the dynamics of system. The input uncertainties associated with the observer error and the malfunctioning of the input devices are modeled by interval type-2 fuzzy MFs instead of crisp numbers. To decrease the computational cost of the GT2FS, a simple type-reduction method is proposed. The antecedent parameters of GT2FS are tuned based on a modified form of social spider optimization (SSO) algorithm. The simulation examples show that the proposed control scheme gives high performance in the presence of unknown functions, external disturbances and unavailable states. The performance of GT2FS with different α-levels and different fuzzification methods are compared with type-1 and interval type-2 fuzzy systems in several examples.     

基于风险因子的信息安全风险评估方法研究

为了减少主观性和客观性因素对于信息安全风险评估的影响,研究了信息安全风险评估的一些主流方法.参考风险评估的基本要素的定义,提出了风险因子的概念和基本要素.对风险因子的基本要素进行了定义和解释说明,设计了一种基于风险因子的风险评估模型.该模型将系统风险分解为若干风险因子,由专家对风险因子的基本要素进行评价,计算出风险因子的风险度.对风险度进行二次模糊化后构造隶属举证,并运用熵系数法求出各个风险因子的权重,进而计算出风险等级.最后给出一个实例证明了模型的科学性和合理性.     

Fuzzy Aggregation with Artificial Color filters

Artificial Color filters are designed to attenuate some pixels and pass others. The pass/attenuate decision is made on the basis of the learned association of spectral components with user-defined concepts. In earlier work, it has been shown that there are various ways to design Artificial Color filters using multiple user-designated classes and those filters are subjected to useful manipulations such as image processing and Boolean Aggregation.The Artificial Color filtering has always been binary. Therefore, the Boolean logic was the only choice for aggregating filters. This paper shows how to fuzzify Artificial Color filters. Fuzzy logic subsumes Boolean logic and can do so in many ways. Several different fuzzy T-norms are applied to Artificial Color filters to illustrate the richness in aggregation. Margin Setting, a supervised statistical pattern recognition method to train the filters, is very conservative in what is definitely assigned to a class (μ=1) while allowing a useful gradation of membership (μ?1) for other cases. A parametric exploration of these effects for an image is presented.     

Analysis of fractional derivatives in thermal and solutal transfer equations of second-grade non-Newtonian fluids: A numerical study

A numerical analysis is carried out using Atangana–Baleanu and Caputo–Fabrizio time-fractional derivatives to study the mixed convective unsteady flow of a second-grade fluid past an infinite vertical porous plate under the influence of a uniform transverse magnetic field. As finding the exact solutions of fluid equations presents huge difficulties due to the vagueness or uncertainty associated with the fluid parameters, fuzzy theoretic concepts are used rather than the classical crisp theoretic ones. Governing partial differential equations are made dimensionless and are then subject to fuzzification. The finite-difference scheme is used to discretize the equations, and hence suitable programming codes are developed in PYTHON for AB and CF fractional derivatives. The results are obtained and plotted graphically. Interpretations based on these physical parameters imply that both AB and CF methods agreed well.     

场地特征周期与抗震设计反应谱的连续化方法

首先,分析场地土分类的模糊性特征,给出四类标准场地二维隶属函数的空间分布,实现场地的模糊化分类;然后,给出场地特征周期连续化方法及其空间分布图,该方法所确定的特征周期分布与建筑抗震规范给出的特征周期等值图吻合较好;最后,以二维隶属函数及其相应的标准设计反应谱为基础,给出四类标准设计反应谱的模糊化方法,建立基于标准场地二维隶属函数和连续化特征周期的两种设计反应谱的连续化方法,给出其空间分布,探讨连续化设计反应谱的工程应用。实践表明:所建立的连续化设计反应谱实现四类标准场地所对应设计反应谱的中间过渡,能更客观反映具有复杂不确定性、模糊性和变异性特征的工程场地的现实情况,为更合理地考虑场地实际特征影响,更客观科学地确定抗震设计反应谱和地震作用提供新的思路和方法。     

单片微机模糊逻辑控制器

为了使模糊控制器的实现简单易行,文章提出了一种用8位单片机实现模糊控制器的新方法,并提出了一种新的规则压缩存储法。文章给出了单片机模糊控制器的具体实现方法,用该方法实现的智能温控系统的运行结果充分证明了此方法的有效性,为用低挡机实现智能控制提供了一条新的思路。     

基于S7-300 PLC的模糊控制器的设计

将先进的智能控制方法与PLC控制器相结合,根据二维模糊控制器的工作原理和PLC的特点,提出了一种用PLC实现模糊控制的设计方法。该方法采用MATLAB的模糊逻辑工具箱进行分析和计算,离线生成模糊控制查询表,借助PLC的存储器间址寻址方式实现模糊控制算法。运用PLCSIM仿真软件测试该算法,证明该控制器的模糊输入和解模糊输出是正确的。     

基于模糊化事故等级指标的调度风险评价方法

为整合不同的后果严重度的指标,充分反映调度员在调度全过程中规避高等级电力事故的意图,提出一种基于模糊化事故等级指标的调度全过程风险评价方法。首先给出了考虑调度全过程的事故后果严重度评价指标体系,然后,基于南方电网电力事故等级划分标准,提出了电力事故等级指标的模糊化定级和量化方法。接着,提出了设备和开关操作故障的模糊化概率建模策略。最后,提出了考虑调度操作全过程的风险评估技术流程。深圳电网的实际算例表明,所提风险评估方法可以有效量化电网运行和调度开关操作中的风险,从而明确判断本次调度操作是否具有实际价值。     

基于模糊-神经网络的火灾报警监测系统研究

提出一种基于模糊－神经网络的多探测器信息模糊化智能型火灾报警监测系统的新方案,该系统具有成本低、功能全、早期发现、准确度高、漏报率及误报率低、适用范围广的特点,硬件电路采用环路结构及总线隔离方式,即使在探测器系统局部失效的情况下也能得出正确的判断。