并行工程模式下企业管理决策的几个问题及其求解

针对并行工程模式下企业管理决策的典型问题,建立一组以省时为优化目标的数学模型。这些模型能较好地表现并行工程哲理的并行性、约束性和协调性特征。讨论了模型的求解,并给出一个算例。     

Diverse reasoning in automated model formulation

Diverse reasoning supports a dynamic integration of various reasoning methods in a computerized system. This paper describes a control blackboard approach to simulate the control features observed in the expert's model formulation protocols. The diverse reasoning concept is incorporated so that the model formulation process is dynamically in a plan-directed, action-directed, or data-directed fashion. The diverse reasoning concept facilitates the control features simulation. By analyzing the diverse reasoning behavior in the proposed system, this paper contributes to a better understanding of and support to the modeling process for the design of intelligent decision support systems. The usefulness of the prototype system is also evaluated using an empirical experiment.     

Short-Time Scaling of Variable Orderingof OBDDs

A short-time scaling criterion of variable ordering of OBDDs is proposed.By this criterion it is easy and fast to determine which one is better when several variable orders are given,especially when they differ 10% or more in resulted BDD size from each other.An adaptive variable order selection method,based on the short-time scaling criterion,is also presented.The experimental results show that this method is efficient and it makes the heuristic variable ordering methods more practical.     

一种基于B—序列系统化生成P—序列的有效算法

Ｐ－序列和Ｂ－离列均可以用以表明拥有ｎ个内部结点二叉树的各种形状特性。本文基于Ｂ－序列，提出了一种系统化生成Ｐ－序列的有效算法。实际上，针对某一Ｂ－序列中的整数０，１，…，ｎ－１，只要在它们要应的位置上用ｎ，ｎ－１，ｎ－２，…，１进行一一替换，便可获得与该Ｂ－序列对应的表示同一棵二叉树的Ｐ－序列。     

基于粗集理论的机器学习与推理

利用粗集理论探讨机器学习中的几个重要概念及研究方法,提出一种基于祖集理论的推理和学习方法。这种研究方法不仅开拓了一条机器学习的新途径,而且也是从数据中推理决策规则的一种新探索。     

火电厂决策支持系统(EPDSS)模型库初探

本文阐述了火电企业的决策支持系统（EPDSS）模型库的构成和内容，它包括多元变系数投入产出模型，生产计划模型，厂用电计划模型，最优进煤计划模型，混煤最优配比模型，负荷最优配置模型以及设备投资决策模型。     

决策支持系统中决策者主导作用的研究

在分析了决策支持系统（ＤＳＳ）的特点后，文章探讨了决策者在系统开发中的作用，从ＤＳＳ应适应用户的风格、ＤＳＳ的个性、ＤＳＳ的动态性、人机界面及用户培训等方面，研究如何发挥决策者在ＤＳＳ中的主导作用．     

基于模糊神经网络的目标识别

提出了一种用于常规雷达目标识别的模糊神经网络．先将目标回波用树状小波变换进行特征抽取，然后用该网络进行识别．最后，给出了５类空中目标的识别实验结果     

技术商品购买决策的方法研究

从方法论角度对技术商品的购买决策进行了探索，进而提出了基于模糊综合评价法的一种技术商品购买决策的新方法，通过建立技术商品评估指标体系和确定评估等级，对各种技术商品进行综合评价，比较，对在技术贸易中能够客观，正确，经济地选择技术商品，做出正确的购买决策，有重要的理论和现实意义。     

A Message Entropy Method of Learning from Examples

Extension matrix（EM）and ID3 are two main algorithms with wide applicationin the field of machine learning,but analysis shows EM may Cause false diagnosis and ID3may cause fail diagnosis.This paper presents a new combination of these two methods toachieve a new method called entropy extension matrix（EEM）and a new concept ofgeneralization association ability（GAA）.Results show that this algorithm has propertiesbetter than those of EM and ID3.