基于信息熵的未确知测度的指挥信息优势评估

现代战争中获取信息优势成为夺取战争胜利的关键。为更好对指挥信息优势进行定量评估,在未确知数学理论基础上,首先引入专家可信度对指标效果值进行处理;研究了信息优势的度量和识别方法;并通过评估指标输出的信息熵确定指标权重,建立了基于未确知测度的指挥信息优势评价模型。最后通过实例分析给出评估结果和改进建议,获得了较为成功的应用。未确知效果测度评价模型严谨,评价结果合理、精细、分辨率高,适合于指挥信息优势的评价。     

对战场信息优势的定量分析*

战场信息优势是一个非常复杂和抽象的概念,也是信息作战研究中的一个重要的课题。首先论述了战场信息优势的定义及内涵。在此基础上,利用信息熵的概念建立了感知态势的定量模型。从位置探测入手,运用信息度量及信息熵的方法,从定量的角度对战场信息优势和制信息权进行了初步的探讨。     

教学中备课质量的评价分析

备课质量是教学过程中的重要组成部分,对提高教学质量起着重要作用。本文给出了客观量化评价教师备课质量的一种方法,对提高教学质量有积极作用。     

Collaboration in contingent capacities with information asymmetry

We study the optimal contracting problem between two firms collaborating on capacity investment with information asymmetry. Without a contract, system efficiency is lost due to the profit‐margin differentials among the firms, demand uncertainty, and information asymmetry. With information asymmetry, we demonstrate that the optimal capacity level is characterized by a newsvendor formula with an upward‐adjusted capacity investment cost, and no first‐best solution can be achieved. Our analysis shows that system efficiency can always be improved by the optimal contract and the improvement in system efficience is due to two factors. While the optimal contract may bring the system's capacity level closer to the first‐best capacity level, it prevents the higher‐margin firm from overinvesting and aligns the capacity‐investment decisions of the two firms. Our analysis of a special case demonstrates that, under some circumstances, both firms can benefit from the principal having better information about the agent's costs. © 2007 Wiley Periodicals, Inc. Naval Research Logistics 54:, 2007     

A produce‐to‐stock system with advance demand information and secondary customers

We consider a manufacturer (i.e., a capacitated supplier) that produces to stock and has two classes of customers. The primary customer places orders at regular intervals of time for a random quantity, while the secondary customers request a single item at random times. At a predetermined time the manufacturer receives advance demand information regarding the order size of the primary customer. If the manufacturer is not able to fill the primary customer's demand, there is a penalty. On the other hand, serving the secondary customers results in additional profit; however, the manufacturer can refuse to serve the secondary customers in order to reserve inventory for the primary customer. We characterize the manufacturer's optimal production and stock reservation policies that maximize the manufacturer's discounted profit and the average profit per unit time. We show that these policies are threshold‐type policies, and these thresholds are monotone with respect to the primary customer's order size. Using a numerical study we provide insights into how the value of information is affected by the relative demand size of the primary and secondary customers. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

基于信息粒化理论的主体间任务分配方法

有效的任务分配对于多主体系统通过主体间协作完成其使命任务是非常重要的。基于信息粒化理论提出了一种新的解决方法,任务分配过程包括两个阶段:主体和任务粒化阶段和粒内规划阶段。给出了主体和任务粒化阶段的数学表示和基于遗传算法的求解方法。案例分析和对比试验表明本文的方法具有较好的性能。