基于模糊控制原理的多目标决策方法

在模糊控制原理的基础上,对于含有定性变量的多目标决策问题提出了一种新的求解方法:先把目标值与权重进行模糊化,再通过模糊推理和反模糊化过程直接得到各方案的评价值,进而进行多目标决策.具体实例的计算结果表明,该方法具有简单、实用、直观的优点.     

多人决策的一类相对均衡解

本文分析由于决策人偏好不同而引起决策差异的多人多目标决策问题，提出了这类决策问题的一类相对均衡解的概念和求取方法。相对均衡解以决策群体偏好的加权集结为基础，能最大程度地反映每个决策人的偏好。文中研究相对均衡解的ＳＷＴ求取方法，并给出了求解的步骤。     

电信项目收入再分配模型研究

对收入再分配模型的现状和问题进行了分析,结合对机会成本理论的深度挖掘,创新性地建立了基于资本机会成本的收入再分配系数测算模型（单位业务能力匹配网络资源投资比例分摊法）。     

On the dynamic nature of response criterion in recognition memory: Effects of base rate, awareness, and feedback.

The authors examined whether participants can shift their criterion for recognition decisions in response to the probability that an item was previously studied. Participants in 3 experiments were given recognition tests in which the probability that an item was studied was correlated with its location during the test. Results from all 3 experiments indicated that participants' response criteria were sensitive to the probability that an item was previously studied and that shifts in criterion were robust. In addition, awareness of the bases for criterion shifts and feedback on performance were key factors contributing to the observed shifts in decision criteria. These data suggest that decision processes can operate in a dynamic fashion, shifting from item to item. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A time aggregation approach to Markov decision processes

We propose a time aggregation approach for the solution of infinite horizon average cost Markov decision processes via policy iteration. In this approach, policy update is only carried out when the process visits a subset of the state space. As in state aggregation, this approach leads to a reduced state space, which may lead to a substantial reduction in computational and storage requirements, especially for problems with certain structural properties. However, in contrast to state aggregation, which generally results in an approximate model due to the loss of Markov property, time aggregation suffers no loss of accuracy, because the Markov property is preserved. Single sample path-based estimation algorithms are developed that allow the time aggregation approach to be implemented on-line for practical systems. Some numerical and simulation examples are presented to illustrate the ideas and potential computational savings.     

多判据模糊决策在工程爆破中的应用

本文介绍了多判据模糊决策的数学模型。该模型可广泛地用于工程爆破中的爆破方案比较,以及爆破试验中的最优爆破参数的决策。该模型的应用将有利于工程爆破试验及设计的计算机程序设计。