ICU应急辅助决策系统的开发研究

分析了我国危重病医学的现状,阐明了研制ＩＣＵ（ｉｎｔｅｎｓｉｖｅ ｃａｒｅ ｕｎｉｔ）应急辅助决策系统的意义。结合ＩＣＵ的特点,说明了ＩＣＵ应急辅助决策系统的特点和实现方法,在此基础上,讨论了系统的主要功能模块,在知识库的设计国,用面向对象技术建立了一种多元知识库模型;而在推理机的设计中,从人类认知的角度出发,突出了应急的实时诊断,提出了一种由基于规则推理、证据推理和案例推理的集成推理机制,最后在     

基于面向对象模型库的DSS可重用体系结构研究

通过对DSS中模型结构的研究,给出了基于面向对象模型库及其动态管理系统的DSS可重用体系结构,以及该体系结构的实现方法与工作流程.最后介绍了该项研究的应用情况.     

工程系统多目标多层次模糊决策模型及其应用

在进行工程系统某些的问题决策时 ,需考虑的因素 (目标 )往往很多 ,且各因素之间还存在不同的层次。为此 ,根据模糊数学的基本理论 ,首先提出层次判断矩阵的建立和层次单排序方法 ,在此基础上 ,利用合成层次总权重来构筑多目标多层次模糊决策模型。最后 ,结合具体实例展开应用研究 ,该结果可为实际的工程系统决策由定性到定量计算提供一种新的思路。     

短期生产计划中产品完成期的动态决策

生产计划和决策是一个企业成功运营的关键。在研究了产品完成期的基础上提出了动态甘特图 ,用于短期生产计划中产品完成期的动态决策。该动态甘特图具有形象、直观和易于决策等特点。仿真结果表明了它的有效性。     

A DEA-TOPSIS method for multiple criteria decision analysis in emergency management

A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (preference) by similarity to ideal solution) is proposed for multiple criteria decision analysis in emergency management. Two DEA-based optimization models are constructed to facilitate identifying parameter information regarding criterion weights and quantifying qualitative criteria in TOPSIS. An emergency management case study utilizing data from the Emergency Management Australia (EMA) Disasters Database is provided to demonstrate the feasibility of the proposed analysis procedure.     

Coordination Model Research Based on Command Decision Joint Intension

Command Decision Simulation （CDS） is not only an important and difficult issue in the field of simulation, but also a technique issue to be tackled in the course of collective Modeling and Simulation in Joint Operations Experiment Center. CDS can give support to all kinds of simulation. Using computer to realize the Blue side＇s command deci- sion automatic execution in the operation training simulation system can improve training effect. Using computer to realize the lower level command unit＇s automatic command deci- sion can help to reduce the number of controllers and release them from heavy work. It can also enlarge simulation scale and increase the freedom of the simulation entity especially the command entity, thus enhance the authenticity and credibility of the simulation. Ac- cording to the command decision structure and the Joint Intention Theory, the thesis puts forward the method of making use of Coordination Matrix （CM） to realizing cooperation among the entities in CDS and constructs the calculation sketch of Task Execution, Task Monitoring and Task Replanning. At the same time, the thesis brings forward the CDS structure vision based on Partial Global Planning（PGP）. As CM is an indispensable part of combat simulation, the theory and the method of CDS will become an important part for the theory of Combat Simulation.     

基于ET-WG和ET-OWG算子的二元语义群决策法

针对一类属性值和权重值均为语言评价信息的多属性群决策问题,提出了一种群决策分析方法.首先,为了便于语言评价信息的集结运算,提出了一些新的集结算子:扩展的二元语义加权几何(ET-WG)算子和扩展的二元语义有序加权几何(ET-OWG)算子,并分析了这些算子的性质.然后提出了一种基于ET-WG算子和ET-OWG算子的群决策方法,其核心是通过语言信息的集结运算,得到各方案的群体综合评价信息,从而根据二元语义信息的比较原则,得到所有方案的排序结果.最后给出了一个实例分析,说明了本文提出方法的可行性和实用性.     

基于多分类支持向量机的智能辅助质量诊断研究

在分析比较目前常用的质量辅助诊断方法局限性的基础上,提出了一种基于多分类支持向量机(SVM)的质量控制图智能诊断新方法.该方法以SVM技术为智能核心,较好地解决小样本学习问题,避免了人工神经网络等智能方法在对小批量生产过程质量诊断时所表示出的过学习、泛化能力弱等缺点.另一方面,通过结合投票法和决策树的基本思想,所提方法拓展出对控制图混合型异常模式的识别能力,从而提高了对质量过程诊断的全面性和准确性.与其它几种常见人工智能方法质量诊断的效果进行对比,实验表明,所提方法容易实现、诊断精度高,为实现小批量加工过程的在线质量诊断与控制提供可行的思路.     

梯度神经网络求解Sylvester方程之MATLAB仿真

近年来,国内外学者发表了许多关于线性代数问题实时求解的方法,其中包括了矩阵求逆和线性方程组的并行求解方法.在研究了基于梯度法的递归神经网络用于Sylyester矩阵方程的实时求解后,通过使用Kronecker乘积和矩阵向量化等技术进行了MATLAB仿真从而验证了相关理论分析.计算机仿真的结果证实了这类神经网络方法在解决Sylvester矩阵方程中的有效性和高效率(特别是在使用幂S型激励函数的情况下).     

Some interval-valued intuitionistic uncertain linguistic hybrid Shapley operators

Two interval-valued intuitionistic uncertain linguistic hybrid operators cal ed the induced interval-valued intuitionistic uncertain linguistic hybrid Shapley averaging （I-IIULHSA） operator and the induced interval-valued intuitionistic uncertain linguistic hybrid Shapley geometric （I-IIULHSG） operator are defined. These operators not only reflect the importance of elements and their ordered positions, but also consider the correlations among elements and their ordered positions. Since the fuzzy measures are defined on the power set, it makes the problem exponentially complex. In order to simplify the complexity of solving a fuzzy measure, we further define the induced interval-valued intuitionistic uncertain linguistic hybrid λ-Shapley averaging （I-IIULHλSA） operator and the induced interval-valued intuitionistic uncertain linguistic hybrid λ-Shapley geometric （I-IIULHλSG） operator. Moreover, an approach for multi-attribute group decision making under the interval-valued intuitionistic uncertain linguistic environment is developed. Finally, a numerical example is provided to verify the developed procedure and demonstrate its practicality and feasibility.