The Interaction Programming Problem

1　 IntroductionMany economic systems involve two or multiple planners with differentdecision variablesand different objective functions.In some of these problems,any planners′choice of hisdecision variables may affect the other′s choice of their decision variables.Each planner,in an attempt to optimize his objective function,chooses values for the variables that hecontrols when the other planners′decision variables were given.There are no hierarchyamong all the planners.The values of any …     

A DEA-TOPSIS method for multiple criteria decision analysis in emergency management

A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (preference) by similarity to ideal solution) is proposed for multiple criteria decision analysis in emergency management. Two DEA-based optimization models are constructed to facilitate identifying parameter information regarding criterion weights and quantifying qualitative criteria in TOPSIS. An emergency management case study utilizing data from the Emergency Management Australia (EMA) Disasters Database is provided to demonstrate the feasibility of the proposed analysis procedure.     

On Incentive Equlibria for Dynamic Games

ＯｎＩｎｃｅｎｔｉｖｅＥｑｕｌｉｂｒｉａｆｏｒＤｙｎａｍｉｃＧａｍｅｓ￥ＺＨＵＳｈｉｊｉｎｇ；ＷＡＮＧＸｉａｎｊｉａ；ＣＨＥＮＴｉｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＥｎｇｉｎｅｅｒｉｎｇ，ＨｕａｚｈｏｎｇＵｎｉｖｅｒｓｉｔｙｏｆＳｃｉｅｎｃｅ...     

MULTIPLE CRITERIA DECISION MAKING： DISCORDANT PREFERENCES AND PROBLEM DESCRIPTION

There are many practical decision problems where decision makers＇ preferences may be inconsistent and contradictory. In this paper, new methods for ordering and classifying multi-attribute objects by discordant collective preferences are suggested. These methods are based on the theory of multiset metric spaces. The proposed techniques are applied to ranking companies and a competitive selection of projects, which are estimated by several experts upon multiple qualitative criteria.     

多延时线性中立型系统的稳定性的代数判据

近年来多延时线性中立型微分系统的稳定性被广泛研究,大量的充分条件被得到,这些条件互为补充,使得很多这类系统的稳定性通过这些充分条件得以判定(参见文献[1-4]),我们借助于矩阵理论得到了依赖于延时的稳定性代数判据;进而给出了独立于延时的稳定性代数判据,最后给出例子来说明所给判据是对文献[1-4]所给判据的补充。     

A hierarchical multiple criteria model for eliciting relative preferences in conflict situations

A multiple criteria decision analysis(MCDA) approach is designed for capturing the relative preference information of a decision maker involved in a conflict.More specifically,an MCDA approach based on the outranking method,ELECTRE III,is employed for ranking states or possible scenarios in the conflict from most to least preferred,where ties are allowed,for a decision maker according to his or her value system.To demonstrate how this preference elicitation methodology can be conveniently implemented in practice within the framework of the Graph Model for Conflict Resolution,it is applied to a real world water supply crisis which occurred in the town of North Battleford,located in the Canadian province of Saskatchewan.     

基于博弈学习理论的企业组织模式演化动态

应用博弈学习理论研究企业组织模式的演化动态.假定企业具有有限理性以及近视眼行为,企业选择某一组织模式的概率依赖于其自身偏好及该组织模式对应的市场份额,考虑到企业的进入行为,建立了单种群演化动态及适应性学习算法,分析了利润函数的性质对演化均衡的显著影响.在此基础上,以企业群体内部和企业群体之间的溢出效应为出发点,建立了两种群演化动态并研究了演化均衡和吸引域的变化.理论分析和数值模拟充分表明,从长期来看,企业组织模式的演化均衡结果取决于溢出效应的大小.     

A PRICE DUOPOLY GAME MODEL WITH UNCERTAIN PARAMETERS

1 IntroductionIn the Bayesian game modeIs[1t2], the uncertainty of objectives is described with probability. But sometbe the uncertainty in practice i8 gben by some fuzzy parnders, and theobjectives of players mny not be to mallmize the expected payOffs[3'4'5j. [6,7l discussed themodeIs for endogenous Stackelberg and price leadership under complete infOmation. In [8,9],we studied the Cournot and Stackelberg models with fuzzy parameters. In this paPer, we givea new subjective equllibrinm fo…     

一种指标权重信息不完全的多指标决策方法

针对指标权重信息不完全的多指标决策问题,提出了一种逼近于理想解的决策分析方法。首先,对指标权重信息不完全的多指标决策问题进行了描述;然后,依据传统的TOPSIS方法的基本思路,给出了解决指标权重信息不完全的多指标决策问题的方法的计算步骤,其核心是通过构建并求解二次规划模型,得到每个方案与正、负理想解间的距离,进而通过计算出相对接近度,即可得到所有方案的排序结果。最后,给出了一个算例。     

多准则决策评价系统设计

针对产品设计中方案设计与评价的复杂的决策问题 ,研究并设计了基于知识的 ,有限方案的多准则决策评价系统 .文章从系统的体系结构、功能结构、数据结构、工作机制 ,以及实现途径等方面进行了阐述 .首先综合考虑技术及经济等各项设计指标 ,建立并维护多准则的决策指标模型 ;然后以知识库、模型库、数据库、方法库等信息源为基础 ,设计各种信息处理工具 ,包括知识处理工具、方案处理工具、多准则决策评价工具 ;综合运用知识推理以及多准则决策评价方法 ,按评价指标模型 ,对有限的待选方案进行评价与排序 ,最后综合分析的结果为复杂的方案论证过程提供科学的决策依据.     

优化准则内容和形式的集合论统一

将决策的最优准则和满意准则综合起来统一用集合论和模糊数学形式进行描述 ,并对信息不完全时、评价模糊时的决策准则进行了具体的论述 ,对于决策理论的深入研究具有重要的意义.     

信息不完全的多准则决策的SIR方法

在决策中,存在准则值不准确、不确定、不能决定和准则权系数信息不完全的多准则决策问题,针对此类问题,提出了一种信息不完全的多准则决策的优劣势排序方法。该方法首先构建方案集的优势矩阵和劣势矩阵,得到方案的全局优势度和劣势度,利用权系数的不完全信息构建相应的最优化模型,求解最优化模型得到优势度和劣势度的变化区间,利用区间数的排序方法得到方案集的一个部分排序或完全排序。最后通过实例验证了该方法的有效性。     

Evolutionary Dynamics for Firm's Organizational Mode based on Theory of Learning in Games

This article studies the evolutionary dynamics of the firm's organizational mode by applying the theory of learning in games. It is assumed that the firms are bounded rationally and are myopic, and they choose the organizational mode in terms of their own preferences and the market share of the organizational mode. Considering entry behavior of the firms, this article presents one-population evolutionary dynamics and the adaptive learning algorithm. Furthermore, it turns out that the profit function greatly impact on the evolutionary equilibria. On the basis of the internal spillover effect within the population and external spillover effect of two populations, it develops the corresponding two-population evolutionary dynamics and discusses the evolutionary equilibria and their basins of attraction. Theoretical analysis and numerical examples show that the evolutionary equilibria for the firms' organizational mode depend on the spillover effect from the perspectives of long run.     

质量功能配置与多目标决策分析

质量功能配置是一种描述性模型,它采用一种系统化方法将顾的呼声布署在生产计划、产品设计、制造等各个阶段的质量设计中。本文在分析质量功能配置的基础上建立基于质量功能配置的多目标决策方析框架.     

基于概率语言熵和交叉熵的多准则决策方法

概率语言术语集既包含语言术语,又包含语言信息的概率,使初始决策信息能够得到充分的利用,有利于提高语言术语集多准则决策的科学性.鉴于此,本文针对概率语言多准则决策问题,提出了一种基于概率语言熵和概率语言交叉熵赋权的多准则决策方法.首先考虑各准则下概率语言术语集的个体效应及其相互作用,利用概率语言熵和概率语言交叉熵计算准则的权重,然后采用将有向图和0-1优先关系矩阵相结合的概率语言术语集备选方案排序方法,更加直观地得到备选方案的排序结果并得到各方案之间的优劣程度.最后,以企业战略规划问题为例进行分析,通过对比分析验证了所提方法的有效性和优越性.     

多目标决策的柔性电压控制

提出了一种新的电压稳定控制方法.基于帕雷托优化解集,多目标决策技术被用来实现对于电力系统电压稳定性的柔性控制.电压控制是一个多目标优化问题.首先用基因跳跃进化算法作为离线搜索的方法,寻找出帕雷托优化解集.当控制系统在线应用时,帕雷托优化解集提供了一系列可行解.多目标决策技术能够根据不同的控制需求选择其中之一,满足不同的操作参数选择.从而实现了对于电压稳定的柔性控制.这种基于多目标决策的控制策略提供了快速、柔性的系统响应.对于6母线的电力系统仿真证实了这一新方法的有效性.     

Endogenous Stackelberg Leadership with Uncertain Information

1 ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｒｅｃｅｎｔｙｅａｒｓ,ｍａｎｙｅｆｆｏｒｔｓｈａｖｅｂｅｅｎｍａｄｅｔｏｅｘｐｌｏｒｅｎｏｎ ｃｏｏｐｅｒａｔｉｖｅｇａｍｅｔｈｅｏｒｙｆｒｏｍａｄｅｃｉｓｉｏｎ -ｔｈｅｏｒｅｔｉｃｖｉｅｗｐｏｉｎｔ.Ｏｐｐｏｓｉｔｅｔｏｔｈｅｔｒａｄｉｔｉｏｎａｌｖｉｅｗｏｆｍｉｘｅｄｓｔｒａｔｅｇｉｅｓａｓｃｏｎｓｃｉｏｕｓｒａｎｄｏｍｉｚａｔｉｏｎｓ,ｐｌａｙｅｒｓｄｏｎｏｔｐｅｒ ｆｏｒｍｒａｎｄｏｍｉｚａｔｉｏｎ .Ｏｎｅｐｌａｙｅｒｃｈｏｏｓｅｓａｄｅｆｉｎｉｔｅａｃｔｉｏ…     

Dual worth trade-off method and its application for solving multiple criteria decision making problems

1 .INTRODUCTIONThe multiple criteria decision making ( MCDM)problem has two remarkable properties : incom-mensurability and inter-contradictoriness amongobjectives . By incommensurability among objec-tives is meant that there is no uniform measuringstandard for each objective ,hence it is difficult tocompare the each other . By inter-contradictorinessis meant that if some solution is taken to makesome objective value better ,then it is possible tomake another or several other objectives …     

区域投资环境评价的Fuzzy群体多准则决策方法

区域投资环境评价是一种信息不完全确定的多准则决策问题.针对这类问题,利用传统TOPSIS方法的基本思路,提出了一种信息不完全确定的Fuzzy群体多准则决策方法.在该方法中.首先对每一决策者,利用TOPSIS方法进行方案的准则集成,求解多目标优化模型得到各准则的权系数,并计算方案的准则集成值;然后进行方案的群体集成,通过求解线性规划模型得到决策者的权重,进而得到方案集的整体排序.最后用实例验证了方法的可行性和有效性.     

一类具有非凸关系的多目标决策方法

针对一类具有非凸关系的多目标决策问题，本文提出了一种新的求解方法．该方法将多目标决策问题转化为对策问题，利用对策理论进行求解，克服了非凸性问题所引起的决策困难．