模糊分析在足球队排名中的应用的C程序

针对 93个全国大学生数学建模竞赛B题及文献① ,运用TurboC语言程序设计 ,讨论了足球队比赛的排名问题 ,给出了其程序设计 ,使原来复杂的计算过程变得更为简洁 ,使其应用范围进一步拓宽。     

基于模糊聚类的主观题自动测评系统的初步实现

作者引入模糊数学中贴近度的概念来衡量人工阅卷中的得分点,利用模糊数学聚类分析过程来模拟人工阅卷的给分过程,设计了主观题的自动阅卷算法,并在系统中灵活设置了人工阅卷模块,构建了主观题网络考试系统。     

模糊评价在网络教育精品课程作业中的应用

针对目前网络教育精品课程的特点及其作业系统建设的现状,指出现有的网络教育精品课程作业缺乏相应的评价和激励机制。针对以上问题,提出了模糊综合评价法,探讨了该方法的基本思想、数学模型和核心程序,并以某学生的具体作业情况来进行实证研究。     

Development of an instructional model for higher order thinking in science among secondary school students: a fuzzy Delphi approach

It is important for science students to develop higher order thinking (HOT) so that they can reason like scientists in the field. In this study, a HOT instructional model for secondary school science was developed with experts. The model would focus on reflective thinking (RT) and science process skills (SPS) among Grade 7 students. The Fuzzy Delphi Method (FDM) was employed to determine consensus among a panel of 20 experts. First, semi-structured interviews were conducted among the experts to generate the elements required for the model. Then, a questionnaire was developed using a seven-point linguistic scale based on these elements. The defuzzification value was calculated for each item, and a threshold value (d) of 0.75 was used to determine consensus for the items in the questionnaire. The alpha-cut value of >0.5 was used to select the phases and sub-phases in the model. The elements in the model were ranked to identify the sub-phases which had to be emphasised for implementation in instruction. Consensus was achieved on the phases of the HOT instructional model: engagement, investigation, explanation, conclusion and reflection. An additional 24 learning activities to encourage RT skills and SPS among students were also identified to develop HOT skills in science.     

A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks

To extract the maximum power from a photovoltaic （PV） energy system, the real-time maximum power point （MPP） of the PV array must be tracked closely. The non-linear and time-variant characteristics of the PV array and the non-linear and non-minimum phase characteristics of a boost converter make it difficult to track the MPP for traditional control strategies. We propose a fuzzy neural network controller （FNNC）, which combines the reasoning capability of fuzzy logical systems and the learning capability of neural networks, to track the MPP. With a derived learning algorithm, the parameters of the FNNC are updated adaptively. A gradient estimator based on a radial basis function neural network is developed to provide the reference information to the FNNC. Simulation results show that the proposed control algorithm provides much better tracking performance compared with the filzzy logic control algorithm.     

模糊控制分区方法研究

针对基本模糊控制解析式控制粗糙的问题,介绍了一种比较适用的模糊控制表(F.C表)分区方法,并在模糊控制解析式中引入动态调整因子,仿真取得了满意的控制效果。     

论模糊美及其中介

模糊数学、耗散结构论等自然科学的理论引入到美学中来 ,建立了一门崭新学科———模糊美学。模糊美学研究的对象是模糊美。模糊美的本质在于中介的不确定性 ,即事物与事物 ,事物的两极之间的流动的跨区和中间地带的相互渗透、相互交融、相互转化 ,形成亦此亦彼 ,非此非彼的不确定状态。这种不确定状态中的美 ,就是模糊美。     

工程机械转向模糊控制系统设计

针对轮式工程机械四轮转向系统,提出以PIC16F877单片机为控制芯片,以零重心侧滑角为控制目标,采用模糊逻辑控制算法的四轮转向自动控制系统;仿真结果表明基于模糊控制的工程机械四轮转向自动控制系统能很好地实现控制目标。     

模糊综合评判在港口评判中的应用

目前，长江三角洲地区已成为全国乃至世界上最具有活力和发展前景的经济区域之一。对于长江三角洲地区来说，港口的发展对经济的发展有着至关重要的作用，但目前对港口的综合评价却缺乏有效的方法．采用模糊综合评判的方法对长江三角洲地区的港口进行了综合评价，得出量化的数据．此研究为港口的建设及布局提供参考．     

基于模糊综合评判的软件可信度量和评价方法研究

随着计算机应用的不断发展,软件可信性问题逐渐受到关注,本文针对软件的5种主要可信特性及其子特性,提出了一个软件可信评价指标体系.并利用模糊综合评判法对可信属性进行评价,通过对评判结果的处理,得到软件可信性的度量和对应的可信等级.