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Decision rule chain and distance function of decision rule are proposed, by which the order of decision rules are explained. The group scale's effect on decision quality and the marginal contribution of decision-makers are analyzed. It's pointed out that the increase of the scale will enhance the decision quality with the optimal decision rule applied. Otherwise it is likely to weaken the decision quality. It's proved that for homogeneous group with simple majority rule applied the marginal contribution of decision-maker will decrease while the scale increases or the decisional competencies of other decision-makers increase; 3.We study the group decision-making with a leader in it. It's proved that the existence of the leader impairs the decision quality when the group applies the optimal decision rule.

研究了决策者的决策能力不确定情况下的群体决策,给出了最优决策规则,指出其仍然是广义加权多数规则;提出了决策规则链和决策规则距离函数的概念,利用这些概念解释了群体决策规则的序现象;分析了群体规模对决策质量的影响、决策者决策能力的边际贡献,指出当群体应用最优规则时,群体规模的增大会提高决策质量,否则群体规模的增大可能会削弱决策质量;证明了对于应用简单多数规则的同质群体,随着其规模的增大,决策者决策能力对决策质量的边际贡献会减小;随着其他决策者决策能力的提高,决策者决策能力对决策质量的边际贡献也会减小; 3。

Title: Study on Decision Rule Optimization and Organization of Group Decision-making Abstract Group decision-making, as one of the basic forms of decision-making, plays an important role in economic and political fields due to the ever-increasing complexity of decision issue and the enhanced democracy awareness. Research of group decision-making is receiving more and more attention as the cutting edge of decision-making theory. Fruitful results are achieved in this field, while there are still some weak aspects for further research, especially in the organization and decision process ot group decision-making. Researches in those fields are instrumental in optimizing the organization and decision process of group decision-making. And we have made some exploration in this paper as follows.

随着决策问题的日趋复杂化和人们民主意识的增强,群体决策作为决策的一种基本形式,在政治和经济生活中占有越来越重要的地位,而群体决策作为决策理论研究的热点和前沿也在国内外方兴未艾,并取得了丰硕的成果,但也存在一些薄弱环节和需要深入研究的问题,特别是在群体决策的组织结构和决策过程方面,如群体决策的规则优化、决策规则的约束性质、群体决策中领导的影响、决策者之间的相关性对决策质量的影响、序贯群体决策中各种组织因素对其决策质量、决策效率、决策收益的影响等等。

Research on the related attribute of evidence, influence and method of dealing with is carried out. Result of experiment demonstrates that the method can lead to the reliable decision effectively. Aiming at conflicting problem of decision making, fusion strategy of BPA reassign is adopted in coordinator of GDSS. Aiming at contradictory of decision-making, the process of decision-making is divided into two stages that are learning and decision-making. Each Agent is trained by proper information given by training example to eliminate contradictories among decision-making Agents and correct mistakes that ensure Agents cooperate effectively in the stage of cooperating decision.(3) In order to overcome the flaw of current GDSS that can only support static problem solving, adopting the method that combing Multi-Decision-Making-Agents Reinforcement Learning and the metempirical knowledge learning, the paper puts forward Reinforcement Learning and optimization under dynamic environment.

提出采用证据理论的证据合成作为协调器中决策Agent的融合策略,对群体决策支持系统的协调器进行决策融合过程中可能出现的情况进行了详细的分析,研究了证据的相关性及其在决策融合过程中的影响,提出了相关证据的处理方法,实验结果表明,该方法可有效保证决策结果的可靠性;针对决策过程中的冲突问题,提出协调器采用基本信任指派二次分配的协调策略;针对决策过程中的矛盾,提出将决策过程分为学习和决策两个阶段,各决策者Agent根据有限的训练样本所给出的正确信息进行训练,消除决策者Agent之间的矛盾和修正决策者Agent自身的错误,从而保证合作决策阶段实现有效的合作决策。

The innovation of the article lies in:(1)gives the evolution process of decision model a systematic pectination, illuminates the internal logic and regularity of all kinds of decision models, and points out the limitation of each kind of decision model in the information age.(2)on basis of analyzing the evolution of the relation between several main decision models, elucidates an enterprise decision model ITDMM creatively which adapts the information age on all the aspects of decision models such as the main body of decision, procedure, method, internal environment and so on.

本文的创新之处在于:(1)系统梳理了决策模式的演进过程,阐释了决策模式的内在逻辑性和规律性,并指出各种决策模式在信息化时代所具有的局限性;(2)在分析几种主要决策模式之间关系演变的基础上,创新性地阐发了信息化时代ITDMM企业决策模式——从决策的主体、决策的程序、决策的方法和决策的内部环境等各个方面适应信息化时代的企业决策模式。

In this paper, granularity in rough set theory is used to describe rules based on the concept of rough degree. A tool for knowledge dependent relation diagram is put forward. Then dimensional knowledge granularity decision space and the same construction mapping decision space based on multi-decision sorts is established, and decision algorithm based on KDRD and decision space is introduced. Finally, through combining with the technique of fault diagnosis, it is proved that the approach is very appropriate to the intelligent decision system.

本文利用粗糙集理论中的粗度概念,在对获取规则进行扩展性的粒度描述的基础上,提出了一种工具―知识依赖关系图,构造了n维知识粒度决策空间以及基于多决策类的同构映射决策空间,建立了基于KDRD和决策空间的决策算法,并结合机械故障诊断说明了本方法非常适于故障诊断等通过结论获取原因的智能决策系统。

First, based on the mathematics model of comprehensive decision at present, the concept of evaluation function is introduced. Based on the thinking stability of decision-maker, the essential meaning of comprehensive decision model is discussed, therefore, and a new improved approach on the comprehensive decision model is put forward. Second, the mathematics model of interval number comprehensive decision is systematically discussed, and the ranking method of interval number based on the decision-maker's attitude is provided. Finally, the concept of valuation order relation is introduced, the valuation order relation of interval number and fuzzy number are systematically discussed in detail, it provides a new method to research the order relations of interval number and fuzzy number, therefore, these achievements can be applied in the intelligent system.

首先,针对常用的综合决策模型,给出了评判函数的概念,讨论了综合决策模型的本质意义,指出决策者的思维应具有稳定性,从而给出了综合决策模型的一种改进方法;第二,在此基础上,给出了区间数的综合决策模型,并详细讨论了基于决策者的决策心态的区间数的排序方法;第三,引入了赋值序关系的概念,详细讨论了区间数和模糊数的赋值序关系,为区间数和模糊数的序关系研究提供了新的思路与方法,这些均有望在智能系统中得到广泛的应用。

Now, the main decision making techniques on the relevant logistics field both at home and abroad are the traditional logistics outsource decision making technique, the decision standard developed by Ballow, the Quinn method for decision-making, the cost and key ability integrated decision-making model, and etc., but few study specially aims to the storage type decision-making.

目前国内外相关的物流决策方法主要有传统物流外包决策方法、Ballow开发的决策标准、Quinn方法决策以及成本与核心能力集成角度下的物流决策模型等等,但是专门针对物流仓储系统类型决策的决策方法还研究较少。

Engrafting L.A.Zadeh one branch fuzzy decision theory with RSA algorithm in information security, this paper gives concepts of multi-cooperation encryption and multi-cooperation sharing fuzzy decision; innovatively gives mathematical structures of group encryption and multi-group sharing fuzzy decision; finally gives safe fuzzy decision algorithm and its applications; safe fuzzy decision is a new direction of fuzzy decision research.

将L.A.Zadeh单枝模糊决策理论与信息安全中的RSA算法相互嫁接,相互渗透,提出了多合作加密与多合作共享模糊决策的概念;创新性地给出了集团加密与多集团共享模糊决策的数学结构;最后给出安全模糊决策算法以及它的应用;安全模糊决策是模糊决策研究的一个新的方向。

The second is the modern decision theory founded by H.A Simon. It focuses on describing the behavior mechanism of decision-makers and decision-making organizations and developed into the branch of decision behavioral science focusing on studying decision behavior and psychology of decision-making. It is based on psychology, sociology and organization theory.

二是由 H。 A。 Simon 所创立的现代决策理论,它以描述决策者与决策组织的行为机制为重点,发展成为以研究决策行为和决策心理为主要内容的决策行为学分支,它的基础是心理学、社会学和组织理论。

In this dissertation,Von Numann and Morgenstern Axioms are analyzedagain at first.It is pointed out not only that preference relations are often latticeordered,but also that the transitivity axiom,along with the independence axiomand the continuity axiom is still rational to a high degree,then a new set ofaxioms for lattice-order decision-making behavior is established.At last,relatedsubjects based on lattice in preference theory,utility theory,decision-makingmethods,multiattribute decision-making,and group decision-making are studied.In this way,the lattice-order decision-making theory is framed.Main creativeresults are obtained as follows

本论文重新审视了Von Neumann-Morgenstern理性行为公理体系,对以前学者较少涉及到的连通性公理提出了质疑,指出偏好关系具有格特征,而传递性公理、独立性公理以及连续性公理在很大程度上仍具有合理性,进而创建了格序决策行为公理体系,研究了基于格的偏好理论、效用理论、决策方法、多目标决策以及群决策中的相关问题,初步构建了格序决策理论框架,主要研究成果如下

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