Minimizing Tardy Jobs in a Single Machine Scheduling Problem with Fuzzy Processing Times and Due Dates

IntroductionThere are many scheduling problems of practicalinterest in which the input data are uncertain or i mprecise,and this kind of uncertainty or i mprecision cannot bedescribed by probability theory.For these situations wherecharacteristics and constraints are neither deter ministic norprobabilistic,the problems may often be modeled withfuzzy sets.Fuzzy logic,which was introduced by Zadeh[1]hasbeen appliedto various industrial problems including productionsystems[2,3].Recently,there ha…     

基于降低时间分辨率转换编码模型的运动估值方法

分析了基于降低时间分辨率转换编码模型的运动估值问题,给出了双线性内插法、前向主向量选择法和前向向量法的理论分析结果和实验结果。实验结果表明:前向向量法比其它两种方法不仅提高了图像的信噪比,而且减少了计算量。     

RETHER协议的改进

为使网络提供实时QoS保证 ,提出了RETHER协议的改进方式。RETHER是一种基于以太网的定时令牌总线协议 ,能够对数据传输提供实时性能。由于使用的模式切换方法是基于CSMA/CD协议的请求 /响应方式 ,不具有切换时间的确定性。RT CSMA/CD协议使用持续竞争的机制保证实时数据据传输具有确定的最大时延。结合两种实时网络协议的特点 ,使用RT CSMA/CD协议的持续竞争机制对RETHER协议的切换模式进行了改进 ,保证了切换时间的确定性     

用时间序列分析方法动态确定检查点时间间隔

设置检查点是容错计算机系统进行故障恢复的重要手段。检查点的开销则是影响其性能的一个主要因素。许多文献已指出检查点开销主要是来自于对进程状态的保存。文章采用时间序列分析的方法对进程状态大小变化情况进行分析和预测,动态选择恰当的检查点时间间隔,减少检查点时需保存的进程状态量,从而减小了检查点的开销。     

关于"Flow Shop排序问题F2|prmu|∑wj(1-e-rCj)的一个启发式算法"一文的注记

本文指出了文献[1]中2个主要命题是错误的,最后提出了待解决的问题. 文献[1]讨论了如下的排序问题:设有2台机器M1、M2,作业(job)集记为:Jj={J1,J2,…,Jn},n个作业均依同一顺序M1、M2在2台机器上加工,每个作业的两道工序Tij、T2j的加工时间分别为Aj、Bj(j=1,2,…,n),作业Jj的权因子为wj,完工时间为Cj,目标函数为折扣加权总完工时间∑wj(1-e-rCj)[2],其中,r是区间(0,1)中的一个确定数(如取0.1,0.05),也称为折扣因子.     

基于时间约束的多源多品种配送系统模型及一种启发式算法

配送系统设计时,除了使系统的总费用最小外,还要满足各需求点对配送时间的要求。在说明了建模的假设条件后,建立了考虑时间约束的多源多品种配送系统模型,并根据模型的特殊结构开发了相应的启发式算法,最后用实际调研的数据作为算例对模型进行了数值演算。     

投资者对待损失的态度与套期保值策略间的关系

对于理性的投资者而言,对待损失都持厌恶的态度,但在进行套期保值交易时,很少有人考虑对待损失的态度对套期保值策略的影响。文中计算了考虑投资者对待损失态度的情况下的最优套期保值比率,并与传统的不考虑的情形进行了对比,然后研究了在不同情况下,投资者对待损失的态度如何影响套期保值策略,最后算例分析,进一步验证了结论的正确性。     

Analysis of Policy Factors in the Stock Market

One model of stochastic time series - Markov chain was presented in this paper. We study and discuss the application of this model. Some results that the policy factor make to stock price were offered when this model is applied to analyze the index of Shanghai stock market quantitatively.     

Application of the Season Time Series Model to Forecast the Rainfall in the Area of Well Irrigation Rice in the Sanjiang Plain

The area of well irrigation rice became more and more, so the crisis of groundwater appeared. Making the most of rainfall is an availability method in water saving irrigation, increasing water temperature and raising yield. Just based on this, through applying the theory of season random time series, according to the data of average monthly rainfall (1981 - 1999), the authors build up the forecasting model in the area of well irrigation rice in the Sanjiang Plain. Through contrasting with practical value, the model has good effect.So, it can be used in water irrigation management.     

Testing Linearity for Time Series in the Presence of β-ARCH Errors

A test for linearity in time series with β-ARCH errors is proposed in this paper. The empirical percentage points for tset statistic are also given. The simulating results under normal and non-normal error distributions show that test suggested by us is very power