Organizational Design of Post Corporation Structure Using Fuzzy Multicriteria Decision Making

A model for organizational design of post corporation structure is developed in this paper. Alternative organization solutions have been designed taking into account the post environment characterized by private operators' competition and development of new message transmission technologies. Criteria for organizational design have been considered as numerical and uncertain linguistic variables describes by fuzzy sets. The model has been tested on a numerical example.     

SDML: A Multi-Agent Language for Organizational Modelling

A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of its functionality. The language is SDML, a strictly declarative modelling language which has object-oriented features and corresponds to a fragment of strongly grounded autoepistemic logic. The virtues of SDML include the ease of building complex models and the facility for representing agents flexibly as models of cognition as well as modularity and code reusability. Two representations of cognitive agents within organizational structures are reported and a Soar-to-SDML compiler is described. One of the agent representations is a declarative implementation of a Soar agent taken from the Radar-Soar model of Ye and Carley (1995). The Ye-Carley results are replicated but the declarative SDML implementation is shown to be much less computationally expensive than the more procedural Soar implementation. As a result, it appears that SDML supports more elaborate representations of agent cognition together with more detailed articulation of organizational structure than we have seen in computational organization theory. Moreover, by representing Soar-cognitive agents declaratively within SDML, that implementation of the Ye-Carley specification is necessarily consistent and sound with respect to the formal logic to which SDML corresponds.     

食用豆腐生产经营过程中区间决策问题的研究

研究了豆腐作坊生产经营豆腐的最优决策问题.深入的实际调研表明:随着自然环境的改变、生产条件和市场资源的变化,豆腐作坊的净收益表现出不确定性.于是豆腐作坊的最优净收益就呈现出区间的特性.以豆腐作坊最优净收益为目标,首先建立了两大区间决策模型-改变生产规模的区间决策模型和不改变生产规模的区间决策模型.其次给出了有关区间决策的基本定理及求解方法.最后对实际问题进行了求解,从而为豆腐作坊提供了最优净收益的范围—区间,并对求得的结果进行了分析,说明所给的求解方法及所得结论是正确的.     

Equality Constraints in Multiobjective Robust Design Optimization: Decision Making Problem

Robust design optimization (RDO) problems can generally be formulated by incorporating uncertainty into the corresponding deterministic problems. In this context, a careful formulation of deterministic equality constraints into the robust domain is necessary to avoid infeasible designs under uncertain conditions. The challenge of formulating equality constraints is compounded in multiobjective RDO problems. Modeling the tradeoffs between the mean of the performance and the variation of the performance for each design objective in a multiobjective RDO problem is itself a complex task. A judicious formulation of equality constraints adds to this complexity because additional tradeoffs are introduced between constraint satisfaction under uncertainty and multiobjective performance. Equality constraints under uncertainty in multiobjective problems can therefore pose a complicated decision making problem. In this paper, we provide a new problem formulation that can be used as an effective multiobjective decision making tool, with emphasis on equality constraints. We present two numerical examples to illustrate our theoretical developments.     

Learning in Dynamic Decision Making: The Recognition Process

The apparent difficulty that humans experience when asked to manage dynamic complexity might be related to their inability to discriminate among familiar classes of objects (i.e., flawed recognition). In this study we examined the change in individuals' recognition ability, as measured by the change in the similarity of decisions they made when confronted repeatedly with consistent dynamic situations of varying degrees of similarity. The study generated two primary findings. First, decisions became increasingly similar with task practice, a result that suggests gradually improving discrimination by the participants. Second, the similarity was determined by the interaction of many task features rather than individual task features. The general principles highlighted by this study are applicable to dynamic situations. For example, with practice, decision makers should be able to learn to identify the time at which to intervene to achieve the maximal effect during dynamic decision making.     

一种基于决策者风险态度的区间数多指标方法的注记

本对基于决策风险态度的区间数多指标方法的映射函数的可区分性、理想点的存在性进行了论证，确保了区间数多指标决策方法的正确性，并对决策风险态度因子进行随机化，使此方法更合理，更有深度。     

决策支持系统中模型管理系统的一种设计和实现方法

本提出了一种基于外模式、逻辑结构和方法库的三级DSS模型系统结构。在此基础上设计了一个具有模型、数据管理功能，友善用户接口界面，能对不同用户提供支持的决策支持系统。     

群体决策的偏好协调性检验

对于一类群体决策问题，本文引进群体的偏好协调性指标，并且给出了偏好协调性指标的统计检验．在此基础上，还提出一个求该类群体决策问题的方法，以及讨论了群体的偏好快调性指标和群体决策结果间的关系．     

一种决策方法的改进和推广

[1]以最小二乘法为工具,建立了确定指标权重的一个优化模型,得到一个复杂的计算权重公式,章通过分析,论证了此公式等价于简单的算术平均公式,并对此结果进行了推广。     

一种属性信息不完全的TODIM决策方法

针对属性信息不完全的多属性决策问题,考虑到决策者具有参照依赖和损失规避行为,提出一种不完全信息的TODIM决策方法。首先,在考虑决策者参照依赖和损失规避行为的基础上,计算每个方案相对于其它方案关于每个属性的优势度;然后计算每个方案相对于其它所有方案的总体优势度;再以最大化所有方案的总体优势度作为目标函数,建立确定最优方案的优化模型。进一步,利用TODIM方法的思想,计算每个方案相对于其它所有方案的总体优势度,从而对方案进行排序。最后通过一个风险投资的算例验证该方法的可行性和有效性。     

电力系统黑启动决策方法比较研究

黑启动作为电力体系安全防御和事故后快速恢复的措施之一,其路径的合理选择对电力系统快速恢复供电具有重要意义。近年来,学者们从不同角度提出了多种黑启动方案决策方法,然而并没有实现各决策方法间的优劣比较。本文引入平均绝对偏差公式,设计了一种黑启动决策方法比较策略,实现了黑启动决策方法的量化比较。在所提比较策略基础上,对常用的黑启动权重确定方法和排序方法进行了实验分析,广东电网上的实验结果表明基于标准差权重和TOPSIS排序的黑启动决策方法具有最高的准确性。本文的价值在于：(1)提出了一种新的比较策略,使黑启动决策方法的量化比较成为可能;(2)通过大量实验确定了一种优化的黑启动决策方法,为后续黑启动决策研究提供了比较基准。     

层次分析法在选股决策中的应用

应用层次分析法建立了股票选择的数学模型,并选择了4只热门股票作为备选股票,从理论和实际两方面对模型的合理性进行了检验.     

指标排序条件下的多指标区间决策

提出了决策指标的权重不能完全确定而只能对权重进行大小排序,并且决策矩阵中的元素包含区间数的多指标决策问题.分4种类型给出区间数决策矩阵的规范化方法,给出了决策方案综合评价值区间的计算模型及算法:给出了区间数比较大小的可能度的概念及可能度的性质;给出了优序数的概念及有关定理.在此基础上,给出了一种简易且具有保序性的方案排序方法.最后应用实例对方法进行说明.     

决策单元的变更对共协调性的影响

本文将对共协调分析的灵敏度问题进行研究,着重探讨决策单元的变更对共协调性的影响。