基于多属性群决策的软件可靠性模型选择方案

基于模型评价准则的属性值和专家经验的偏好信息进行软件可靠性增长模型的选择,可归结为多属性群决策问题.模型评价准则的主观专家偏好可利用层次分析方法将其量化得到其主观排序权重;基于失效数据的模型评价准则的计算数据可利用熵权法获得客观排序权重.综合两种权重可得到既能反映专家经验又能综合实际软件可靠性测试数据的模型评价方案.实例分析表明该方案具有合理性和可行性.     

Model Independent Parametric Decision Making

Accurate knowledge of the effect of parameter uncertainty on process design and operation is essential for optimal and feasible operation of a process plant. Existing approaches dealing with uncertainty in the design and process operations level assume the existence of a well defined model to represent process behavior and in almost all cases convexity of the involved equations. However, most of the realistic case studies cannot be described by well characterised models. Thus, a new approach is presented in this paper based on the idea of High Dimensional Model Reduction technique which utilize a reduced number of model runs to build an uncertainty propagation model that expresses process feasibility. Building on this idea a systematic iterative procedure is developed for design under uncertainty with a unique characteristic of providing parametric expression of the optimal objective with respect to uncertain parameters. The proposed approach treats the system as a black box since it does not rely on the nature of the mathematical model of the process, as is illustrated through a number of examples.     

模糊群决策的逼近于理想解排序法

首先给出一致性互补判断矩阵元素与排序权重的一种新逻辑关系,并以模糊极大集和模糊极小集作为模糊正理想解和模糊负理想解。然后,通过α-截集将模糊数转化为α水平下的区间数,并构造基于贴近度的可能度矩阵,利用所提出的逻辑关系确定在α水平下的排序权重。最后集结各水平下的权重得到最终的排序权重。     

A Note on Robustness and Interdependent Decision Making

Robustness analysis has not previously incorporated explicitly the reactive response of other decision makers to the action of the initial decision maker. This note presents an extension of robustness analysis to incorporate this response of the decisional environment.     

Catastrophe Theory in Management Forecasting and Decision Making

This paper reviews the use of catastrophe theory in management. Two case studies of practical applications of catastrophe theory in the management of natural resource systems are described. These are used as a basis for discussing the possible use of catastrophe theory in other areas of management.     

直觉模糊熵与加权决策算法

直觉模糊熵是直觉模糊集理论中的一个重要概念,反映了直觉模糊集的模糊程度和不确定程度.首先给出一种新的直觉模糊熵,并运用到多属性直觉模糊决策问题中.决策时根据直觉模糊熵计算属性权重,再综合决策者的偏好对各属性权重进行修正,然后使用直觉模糊集结算子和得分函数对方案进行排序,从而获得最优方案.     

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。