基于模糊信息的群体多维偏好分析决策模型

针对具有模糊信息的群体多属性决策问题,对原多维偏好分析线性规划(linearprogrammingtechniquesformultimensionalanalysisofpreference,LINMAP)法进行了改进,定义了群体一致度和不一致度,利用语言变量评价指标值和定义模糊数间距离等方法,把经典LINMAP法推广到具有模糊信息的多人决策情况。最后给出了一个应用实例,结果证明该方法具有较强的实用价值,为模糊群体多属性决策问题提供了一条新的解决途径。     

系统验收的评估模型和方法

本文将层次分析法与多目标决策方法相结合,研究系统验收的评估问题。建立了系统验收的评估模型,综合评价系统的性能指标与系统研制要求相比较的综合水平,为检验研制的系统是否满足研制指标提供依据。     

基于模糊模式识别的时序混合多指标决策

研究了一类定性和定量指标相结合的时序混合多指标决策问题。基于模糊模式识别原理 ,提出了一种新的进行方案优选的方案总体评价函数 ,给出了具体的决策方法和过程。最后通过一个实际例子说明 :该方法可行、有效 ,从而为解决时序混合多指标决策问题提供了一条新途径     

Robust data envelopment analysis based MCDM with the consideration of uncertain data

The application of data envelopment analysis (DEA) as a multiple criteria decision making (MCDM) technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit (DMU) might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared. The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.     

属性值为区间数的决策对象预期理论模型研究

针对属性值为区间数的多属性决策中不同区间数相互比较具有相同可能度的问题进行研究。根据决策者不同的风险偏好将其分为3类,对不同风险偏好类型的决策者提出相应的预期理论模型,确定区间数之间的优势关系。在此基础之上,提出决策对象优势关系及优势度矩阵,并根据优势度数值对决策对象进行排序择优。最后,通过实例验证新排序算法的科学性与有效性。     

产品伤害危机的营销补救策略优化

在归纳既有文献对产品伤害危机应对策略研究的基础上, 梳理了营销补救策略遴选的决策属性, 并建立反映决策属性之间网络关系的营销补救策略优化的多目标决策模型. 在此基础上, 应用AHP、ANP和TOPSIS复合的多目标决策方法, 构建决策属性权重计算方法, 以及营销补救策略优化排序的一般性流程. 食品企业的问卷调查结果表明: 当产品伤害危机发生时, 社会责任是控制层的优先属性, 消费者考虑集缩减是网络层元素的优先属性, 主动召回和行业应对分别是最优和最差的营销补救策略.     

ON PAIRED PRIORITIZATIONS OF CRITERIA IN THE PERSPECTIVE OF DIAGRAPHS

It is not usually independent among criteria in multi-criteria decision making(MCDM),and various dependences of criteria greatly influence the results of decision making.If an exact decision is desired,we must make clear the role of the dependences of criteria.Prioritizations,a new kind of dependences of criteria proposed recently,imply that the importance weights of criteria with lower priority for an alternative rely on whether the alternative satisfies the decision maker under criteria with higher priority.It has been validated that there exist lots of relevant applications in our daily activities.However,most existing literatures focus on how to deal with the problems of MCDM with ordered prioritizations among criteria(a special form of prioritizations).The characteristics of prioritizations are not dug deep.This paper constructs a new form of prioritizations,called paired prioritizations,so as to reduce or even avoid imperfect rationality of decision makers hidden in the ordered prioritizations.We first represent binary paired prioritizations as a digraph,based on which we discover two kinds of imperfect rationality(inconsistency and incompleteness) produced in the period that the decision maker supplies the binary paired prioritizations.After the given paired prioritizations are consistent and complete,we develop an approach to transform the paired prioritizations to ordered prioritizations.The latter can be used to handle prioritized MCDM problems.Moreover,uncertainty,another kind of imperfect rationality,is considered when the decision maker provides the fuzzy paired prioritizations based on a set of linguistic labels.We construct a fuzzy digraph whose fuzzy relations are just the fuzzy paired prioritizations.The ordered prioritizations can then be derived with the aid of the fuzzy digraph.Two use cases are taken to show the process of transformations from binary/fuzzy paired prioritizations to ordered prioritizations.     

直觉正态模糊优先集结算子及其在群决策中的应用

直觉正态模糊数是对直觉模糊数和正态模糊数的拓展.针对直觉正态模糊信息的集成问题,定义了直觉正态模糊数的运算法则、期望值和大小比较方法,提出了准则间具有优先关系的直觉正态模糊优先加权平均算子(INFPWA)、直觉正态模糊优先加权几何平均算子(INFPWG)、直觉正态模糊有序加权平均算子(INFPOWA)及这些算子的性质.在此基础上,针对专家和准则间具有优先关系并且准则值为直觉正态模糊数的多准则决策问题,提出一种基于直觉正态模糊优先集结算子的群决策方法.最后通过算例分析验证了该方法的有效性和可行性.     

Fuzzy MCDM Based on Fuzzy Relational Degree Analysis

1 .ＩＮＴＲＯＤＵＣＴＩＯＮＦｕｚｚｙｍｕｌｔｉｐｌｅｃｒｉｔｅｒｉａｄｅｃｉｓｉｏｎ ｍａｋｉｎｇ (ＭＣＤＭ)ｉｓａｎａｃｔｉｖｅｒｅｓｅａｒｃｈｔｏｐｉｃｉｎｄｅｃｉｓｉｏｎｓｃｉｅｎｃｅ,ｓｙｓｔｅｍｓｅｎｇｉ ｎｅｅｒｉｎｇ ,ｍａｎａｇｅｍｅｎｔｓｃｉｅｎｃｅａｎｄｒｅｓｅａｒｃｈ .ＴｈｅｋｅｙｔｏｓｏｌｖｉｎｇｆｕｚｚｙＭＣＤＭｉｓｈｏｗｔｏｒａｎｋａｌｔｅｒｎａｔｉｖｅｓｉｎａｆｕｚｚｙｅｎｖｉｒｏｎｍｅｎｔ.Ｍａｎｙｒｅｓｅａｒｃｈｅｒｓｈａｖｅｉｎｖｅｓｔｉｇａｔｅｄｔｈｅｕｓｅｏｆｆ…     

Order Structure Analysis（OSA） for the Optimal Solutions of Multiple Objective Mathematical Programming

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多阶段多目标多部门应急决策模型

在考虑部门协同、动态决策的基础上,提出了部门协同网络、协同矩阵、协同系数等新的概念.基于多目标优化的思想,建立了多阶段多目标多部门的应急协同决策模型.该模型能够结合多部门意见,并随着事态的发展对决策进行动态调整.模拟实验表明该模型可以实现科学决策,对于实际的应急决策问题具有重要的意义.     

规范化公式对无关方案独立性的影响

对决策矩阵进行规范化处理是MCDM决策的必要步骤，其目的是消除指标单位影响，使得不同指标的值具有可加性。目前针对不同类型的指标存在着不同的规范化公式，本文指出利用规范化公式对决策矩阵进行处理会破坏方案之间的独立性，导致评价违反无关方案独立性，并产生逆序；并以基于WAA算子的决策为例在数学上推导了决策矩阵规范化致使无关方案独立性的违背以及逆序的产生的必然性，最后用具体的数例验证了这一结论。     

一种交互式多目标满意群决策方法

本文提出一种交互式多目标满意群决策方法。该方法用多目标满意决策方法帮助各决策人和群体进行多目标决策分析,用满足一集公理的加权和函数集结各决策人的偏好以及各目标的愿望值,从而形成群体的愿望值,并逐个求得群体的满意解。可克服构造决策人效用函数和人际间效用比较的困难,可用于一类群决策问题的分析求解。     

Design of the Feedback in Decision Support Systems

1IntroductionTheconceptoffeedback,whichisolleofthemostfundamentalmethodologies,isextensivelyappliedtofieldsofsociology,economics,engineering,andsooil.Ofcourse.feedbackplaysanimportantroleinhumandecisions.Decisiollmakingcallb('regardedastheprocessofplannillg,selecting,andcontrollillg,wheredecision"lakersevaluatetilealternativesaccordingtosomecriteria.deterlllilletilemostPI'el\)rr(3(lstrateg}'alld('Olltrolitsilllplenlelltatiolltoreaclltheexpectedgoal.Itishotullusualthatthel'earedollly(Ti'01'si…     

A Measure of the Structured Degree for Decision Problems

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基于决策类分割的动态数据环境下的归纳学习

深入分析了基于分辨矩阵和传统决策矩阵的归纳学习算法中存在的问题,提出了一种新的决策矩阵及基于它的归纳学习和动态数据环境下的递增式学习方法.其主要思想是基于决策类将决策系统分割为多个子系统,并构造其新的决策矩阵,然后将决策系统上的归纳学习转化为新决策矩阵下的递增式学习.这不仅解决了动态数据环境下归纳学习问题,而且能降低矩阵空间规模,避免了传统决策矩阵算法中的重复计算.实例分析和实验结果验证了基于分治策略算法的合理性和有效性.     

组织决策及其支持系统的分析与设计

对组织决策的结构要素和过程要素进行了分析,阐明了组织所需要的决策支持．探讨了组织决策支持系统（ＯＤＳＳ）的特征和设计影响因素．针对网络结构组织,提出了ＯＤＳＳ的一种结构设计框架     

决策支持系统发展的新阶段

针对决策支持系统（ＤＳＳ）的多元化发展态势,本文从５个方面进行了概括总结,勾画出由传统ＤＳＳ到智能ＤＳＳ再到人机智能化决策系统这条智能化发展主线,从而指出人机智能化决策系统是ＤＳＳ发展的新阶段．文中着重讨论了人机智能化决策系统的特征及其与智能ＤＳＳ的区别,对人机智能化决策系统的结构与进化问题也进行了分析说明．     

The Hierarchical Optimism Index Method for Decision Analysis under Uncertainty

１ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｄｅｃｉｓｉｏｎｐｒｏｂｌｅｍｓｃａｎｂｅｄｉｖｉｄｅｄｉｎｔｏｔｈｒｅｔｙｐｅｓａｃｃｏｒｄｉｎｇｔｏｔｈｅｐｒｏｐｅｒｔｙｏｆｔｈｅｉｒｎａｔｕｒａｌｓｔａｔｅｓ：（１）ｄｅｔｅｒｍｉｎｉｓｔｉｃｄｅｃｉｓｉｏｎｐ...     

决策分析中一类极大熵问题的求解算法与应用

提出了决策分析中一类极大熵问题的求解算法。与求解极大熵问题常采用的Lagrange数乘法相比, 此算法更加简便、省时, 不仅适用于决策分析, 而且对非线性规划中的基准点测试也有一定的参考价值。文章最后应用此算法对一个投资决策问题进行了求解。