一种基于Spearman秩相关系数与熵的多属性决策方法

本以方案间单个指标的关联系数为基础，引入相关度概念，对以关联系数平均值作为测度的评价方法进行了改进，提出了以方案相关度为测度指标的新的决策方法。     

线性规划在最优火力分配辅助决策中的应用

采用层次分析法和线性规划法对坦克连冲击时目标价值和火力分配问题进行了分析.在理论分析的基础上,用C++Builder开发火力分配辅助决策软件,该软件以报告文件的形式显示目标价值结果,以报告文件或图形的方式显示火力分配结果.     

一种基于合作与满意的群决策方法

从信息熵和相对熵的概念出发 ,提出了“不合作度”和“不满意度”的概念 ,通过论证指出了理想合作群“不合作度”和“不满意度”均为零的特点 .针对此特点 ,建立了基于“不合作度”和“不满意度”最小的优化模型 ,并针对模型 ,对遗传算法进行改进 ,使之适合于求解模型 .最后通过算例表明了此群决策方法的有效性和实用性 .     

Number of alternatives and efficiency in different types of top-management decisions

What are the causes of the efficiency of complex strategic decisions? To answer this question, the impact of information searching, alternative designing, and complexity of a decision problem on its decision quality are analyzed in a longitudinal study of 83 top-management decisions, made the by executive board of a medium-sized firm (1380 employees). Decision quality is negatively influenced by the complexity of the decision problem. Alternative designing has a strong positive impact on decision quality. Information search shows no significant relationship to decision quality. The results indicate that designing of alternatives is an important instrument to counter the challenges of complex strategic decision-problems. However, one should not simply maximize the number of alternatives. There seems to be a very small optimal number beyond which decision quality will decrease. Besides, alternative designing has to be coordinated with other problem-solving activities, namely goal formation, process organization, and information searching.     

Multilevel Stackelberg strategies in linear-quadratic systems

Open-loop multilevel Stackelberg strategies in deterministic, sequential decision-making problems for continuous linear systems and quadratic criteria are developed. Characterization of the Stackelberg controls via the solution of a higher-order square-matrix-Riccati differential equation is established; also, the basic structural properties of the coefficient matrices of this differential equation are established, and the basic structural properties of its solution are inferred.This work was supported in part by the Energy Research and Development Administration, Contract No. ERDA E(49-18)-2088.on leave from the Mihailo Pupin Institute, Belgrade, Yugoslavia.     

基于Bonissone近似算法的群决策方法

把模糊数学理论应用到群决策领域是解决不确定问题的有效方法 .介绍了定性语言描述转化成定量模糊序关系的方法 ;采用 Bonissone的 L-R梯形模糊数近似算法 ,提出了基数型和序数型决策问题的群决策程序 ;用实例说明了这种群决策方法的使用步骤 .     

变动供给下的多物品拍卖

变动供给下的多物品拍卖是在线拍卖的形式之一，但对这一问题的相关研究未能真正地解决销售商如何确定待拍商品的数量和价格问题。本就变动供给下的多物品拍卖问题，建立了一个新的决策分析模型，与已有的模型相比，它不仅能同时确定待售商品的数量与价格，而且能有效地避免替代性商品间的外部性损失，为销售商的决策提供参考。     

The <Emphasis Type="Italic">K</Emphasis>th-Best Approach for Linear Bilevel Multi-follower Programming

The majority of research on bilevel programming has centered on the linear version of the problem in which only one leader and one follower are involved. This paper addresses linear bilevel multi-follower programming (BLMFP) problems in which there is no sharing information among followers. It explores the theoretical properties of linear BLMFP, extends the Kth-best approach for solving linear BLMFP problems and gives a computational test for this approach.     

Multitiered Supply Chain Networks: Multicriteria Decision—Making Under Uncertainty

In this paper, we present a supply chain network model with multiple tiers of decision-makers, consisting, respectively, of manufacturers, distributors, and retailers, who can compete within a tier but may cooperate between tiers. We consider multicriteria decision-making for both the manufacturers and the distributors whereas the retailers are subject to decision-making under uncertainty since the demands associated with the product are random. We derive the optimality conditions for the decision-makers, establish the equilibrium conditions, and derive the variational inequality formulation. We then utilize the variational inequality formulation to provide both qualitative properties of the equilibrium product shipment, service level, and price pattern and to propose a computational procedure, along with convergence results. This is the first supply chain network model to capture both multicriteria decision-making and decision-making under uncertainty in an integrated equilibrium framework.