浅析企业投资过程中的纳税筹划

纳税筹划是一种实践性、综合性都比较强的纳税运作技巧.在企业不断运作的过程中,投资和再投资是企业生产和扩大生产的必经之路,投资决策中的纳税筹划往往是企业进行投资决策的第一步,任何一个筹划因素都有可能对投资决策的最终效果产生影响.站在纳税人的角度,主要研究现代企业投资活动中所涉及的纳税行为.通过对投资行业、投资期限等不同的投资方式中涉及的主要税种进行筹划,以及通过纳税筹划来事先选择有利的投资方案,在资本结构优化的同时,实现节税和企业价值最大化的双重目标.     

分数阶域噪声预测判决反馈均衡方法的研究

针对单载波频域均衡中噪声预测判决反馈均衡结构,介绍了一种基于独特字块结构的分数阶域噪声预测均衡方法,即将接收端的时域信号转换到分数阶域实现噪声预测判决反馈均衡。分数阶域的判决反馈均衡在保持前馈与反馈部分相互独立的同时,还利用了分数阶域信号的灵活性使均衡效果更好;与此同时,利用独特字的已知特性,在接收端将独特字和有用数据分开,再进行分数阶域均衡处理,恢复出原始数据。仿真结果表明,基于独特字的分数阶域噪声预测判决反馈方法相比传统基于循环前缀的均衡方法性能有很大提升。     

视情维修条件下k/N(G) 系统备件供需联合优化

针对传统m视情维修策略下k/N(G)系统维修决策模型对备件可获取性考虑不足的问题,提出了(m,Q)维修策略及备件订购与生产的联合决策优化方法,建立了两种视情维修条件下k/N(G)系统备件供需联合优化模型。证明了在满足约束条件的同时,(m,Q)维修策略下的联合模型((m,Q, n) 策略模型)具有使目标函数最小的订购阈值m、订货量Q和订货次数n,m维修策略下的联合模型((m,n)策略模型)存在最优订货量m和订货次数n使目标值最小。此外,比较分析了不同模型参数对两种模型决策的影响,结果表明, (m,Q,n)策略模型得到的成本始终小于(m,n) 策略模型,而系统使用可用度始终高于(m,n)策略模型。     

计算机网络对抗行动策略的Markov博弈模型

在分析计算机网络对抗问题特点基础上，将博弈论与马尔可夫决策相结合，以折扣总回报值为目标函数，提出计算机 网络对抗行动的马尔可夫博弈新模型. 运用凸分析理论证明得到网络对抗新模型存在均衡策略，并将攻防双方的均衡策略转换为一个非线性规划问题进行求解. 通过算例分析，验证了方法的可行性和有效性.     

A Class of Genetic Algorithms on Bilevel Multi-objective Decision Making Problem

1　ＩｎｔｒｏｄｕｃｔｉｏｎＣｏｎｓｉｄｅｒｔｈｅｆｏｌｌｏｗｉｎｇｂｉｌｅｖｅｌｍｕｌｔｉ ｏｂｊｅｃｔｉｖｅｄｅｃｉｓｉｏｎｍａｋｉｎｇｐｒｏｂｌｅｍ[1] :ｍｉｎｘ Ｆ(ｘ ,ｙ) =ｍｉｎｘ (Ｆ1(ｘ ,ｙ) ,Ｆ2 (ｘ ,ｙ)… ,ＦＭ(ｘ ,ｙ) )　Ｍ 2　ｓ .ｔ.Ｇ(ｘ ,ｙ) 0ｍｉｎｙｉｆｉ(ｘ ,ｙｉ)　ｉ =1 ,2 ,… ,Ｐ　ｓ .ｔ.ｇｉ(ｘ ,ｙｉ) 0　ｉ =1 ,2 ,… ,Ｐ ( 1 )ｗｈｅｒｅｘ =(ｘ1,ｘ2 ,… ,ｘＮ)ａｎｄ ｙｉ=( ｙｉ1,ｙｉ2 ,… ,ｙｉｎｉ)ｓｔａｎｄｆｏｒｔｈｅｄｅｃｉｓｉｏｎｖａｒｉａｂｌｅｏｆｔｈｅｕｐｐｅｒ …     

人体饮食营养配餐决策支持系统的研究与实现

介绍了营养配餐DSS(DecisionSuportSystem)的国内外现状，探讨了营养配餐的数学模型、人体饮食营养配餐DSS的实现，总结了它的意义和应用前景．主要内容有单目标与多目标数学模型、营养评价、数据流图、总体结构等．该系统对于帮助人们合理饮食、增强体质有重大的现实意义，也有很大的经济效益和社会效益．     

Volatility structures of forward rates and the dynamics of the term structure: a multifactor case

For general volatility structures for forward rates, the evolution of interest rates may not be Markovian and the entire path may be necessary to capture the dynamics of the term structure. This article identifies conditions on the volatility structure of forward rates that permit the dynamics of the term structure to be represented by a finite-dimensional state variable Markov process. In the deterministic volatility case, we interpret then-factor model as a sum ofn unidimensional models. Wang Guilan: born in 1967, Ph. D.     

A Model for Design of Human Activity Systems

A background is given to the common failures of management information systems and the authors' view of the causes behind these failures. There seems to be a lack of effective methods for analyzing information requirements. Different scientific methods are discussed as to their propensity for analyzing the information requirements. The importance of the systems design approach instead of the system improvement approach is emphasized. The concept of Human Activity Systems is discussed and an analysis of the interdependence of the soft and hard parts of these systems indicates that an integrated view is necessary. A methodology based on a systemic and systematic analysis of the information requirements in an organization is proposed. This methodology focuses the settings of the decisions on all levels in organizations and also indicates organizational discrepancies and information imbalances. The methodology can be regarded as a dynamic, learning system.     

Market Share Model of Price and Advertising Combined Game in Duopoly

The marketing share model of price and advertising in a duopoly market was studied in this paper. Market response curves of price and advertising were presented to calculate the reasonable range based on the market forecast results. The interaction effect of price and advertising was considered,and the game theory was applied to a two-stage price and advertising competition which involved the market share model. A marketing decision support system (MDSS) was developed and simulation data was provided to give the solutions. The operation results show that the leading enterprise makes higher price,spends more on advertising,and earns more profit,while the small-scale enterprise has to lower the price,spend less on advertising,and has slightly higher profit rate. The system is shown to be adaptable to a wide variety of realistic situations.     

基于蒙特卡罗的消费投资决策模型研究

将消费和投资放在一个跨期最优化框架下,提出了基于蒙特卡罗风险评估的消费投资决策模型。首先,建立个体效用函数、劳动收入、跨期预算约束、投资机会及市场摩擦因素之间的数学表达式。然后,考虑劳动收入风险、投资收益风险,建立消费投资组合动态优化模型。最后,通过一个实例阐明所提出模型能更加有效地刻画实际市场中的消费投资情况,证明所设计算法的有效性。