二型模糊系统研究与应用

简单介绍模糊系统和二型模糊系统发展，概述二型模糊系统的应用范围、条件和组成，比较详细的介绍了二型模糊集合基础理论，按照二型模糊系统的组成模块描述模糊器，规则库，推理引擎，降型器，精确器的表达式和推导过程，最后还总结了二型模糊系统现阶段存在的不足和可能发展方向。     

广义不确定性系统理论的特性分析

广义不确定性系统涵盖了目前人们在科学研究中所涉及的一切系统(确定性系统与不确定性系统)，是内涵最深外延最广的系统理论体系。本文讨论了其理论的发展概况，对其概念、特性、体系进行了剖析、探讨，给出了广义不确定性系统理论的基本框架。     

基于多Agent的宏观经济智能预测决策支持系统研究

在分析智能决策支持系统的发展基础上，将人工智能思想，特别是Agent应用于构建智能宏观经济预测决策支持系统。提出面向任务的Agent设计思想，以任务为核心设计多种类型Agent共同完成预测决策任务，给出基于多Agent的系统组成结构，并给出系统中不同类型Agent的具体实现结构，同时探讨了整个系统的运行机制以及系统中多Agent之间的合作。整个系统的构建过程也是面向Agent的程序设计的过程。     

区域经济技术发展战略系统分析设计方法

本文先简要分析了经济技术系统组成、结构关系．接着就发展战略研究的层次结构进行了描述，在战略研究基本思想指导下着重介绍了系统的分解协调过程、方法以及在战略规划中的应用、内容研究、方法模式等，并运用于星子县经济技术发展战略研究中，获得好评，取得满意效果．它为区域经济技术发展战略提供一种结构层次分明、实用性强的系统设计方法，这种模式具有许多优特点如结构清晰明潦、点面结合巧妙、经济技术倾斜发展思想、系统协调综合平衡方法合理、科学、巧妙、横断面考察等，并且可以加以开发成经济技术发展决策支持系统，以实现决策科学化．     

企业系统物元分析与诊断

本文根据可拓理论，从功能角度给出系统物元的整合效果模型，依此模型分析与诊断工业企业系统，并对其调节控制和发展演化机制进行了描述。     

社会经济管理系统和谐性模型的构建与分析

本文从非线性自然观的视野。引用与分析了社会经济系统功能模型与效应模型。构建了系统和谐状态模型与和谐状态可信度模型，形象地说明了企业系统的和谐既是一个随机不确定状态。又是企业和谐力量与不和谐力量相互抗争干涉的过程。依据协同学原理提出了企业系统和谐演进的机制，表明企业系统的和谐发展是子系统和谐协同的过程。即子系统竞争合作的过程。文中所构建的模型，从理论上清晰地说明了企业系统和谐有序运行的机理，为如何构建和谐企业。提供了建设性的思考。     

地区中长期发展规划模型研究

针对一个地区研究制定中长期发展规划的需要，建立了一模型系列，利用它们可对该地区未来１５年国民经济和社会发展进行动态的系统分析。     

科技产业化实施系统预研究

科技产业化实施系统是科研成果的物化和转化的关键，其发展和完善将直接影响到科学技术转化为生产力的程度。本将采用系统动力学的方法论对科技产业化实施系统进行研究和分析。     

船舶机械减隔振技术与计算方法研究综述

针对船舶机械系统，介绍了隔振方法和吸振方法：包括浮筏隔振系统、动力吸振器的概念、应用背景和研究现状；同时介绍了被动控制、主动控制的概念和发展情况.梳理了新型智能材料和新型结构形式，介绍了“准零刚度”隔振器、声学黑洞结构、智能材料作动器、主动和半主动吸振器等控制元件的概念、使用工况和发展，概述了主动控制的控制方法.讨论了机械减隔振系统建模、计算、试验的理论数值方法.最后总结和展望了船舶机械减隔振系统的发展方向.     

应用系统层次分析法合理分配企业的利润留成

本文运用系统层次分析法，对东北制药总厂如何合理使用利润留成进行决策，从而促进了工厂的新发展，使工厂的整体效益最佳。     

管理信息系统综合评价的数学模型

本在建立管理信息系统评价指标体系的基础上,通过建立数学模型,研究了管理信息系统的综合评价问题,并用实例加以说明。     

基于小波网络的管理信息系统多指标综合评价方法

本在建立管理信息系统综合评价指标体系的基础上，提出了一种基于小波网络的管理信息系统多指标综合评价方法，该方法不仅能够模拟专家对管理信息系统进行综合评价，避免评价过程中的人为失误，而且有比BP网络更好的收敛性能。仿真实验表明，采用该方法所获得的结果是令人满意的。     

MIS工程项目管理最优化模型

MIS是具有创新性质的工程项目 ,是一项具有许多不确定因素的系统工程 ,本文结合铁路TMIS建设的实际问题 ,从系统工程的角度就含有随机因素的信息化工程项目管理进行了讨论 ,提出了一个方便实用的最优化模型并使用Excel给出了计算机求解方法。     

Combinatorics and Algorithms for Augmenting Graphs

The notion of augmenting graphs generalizes Berge’s idea of augmenting chains, which was used by Edmonds in his celebrated solution of the maximum matching problem. This problem is a special case of the more general maximum independent set (MIS) problem. Recently, the augmenting graph approach has been successfully applied to solve MIS in various other special cases. However, our knowledge of augmenting graphs is still very limited and we do not even know what the minimal infinite classes of augmenting graphs are. In the present paper, we find an answer to this question and apply it to extend the area of polynomial-time solvability of the maximum independent set problem.     

Application of a Performance Based Approach to Economic Valuation of Information

The application of a system dynamics model to establish a monetary value for the management information to be provided by a proposed MIS for the road operations department of a contract motor carrier is described. The information system, management policies and decision rules of the department are modelled. Results from the case study are presented, and an argument is made for generalizing the demonstrated system dynamics approach to economic valuation of information to other organizations.     

An agent-based investigation into the new product development capability

The capability to bring products to market which comply with quality, cost and development time goals is vital to the survival of firms in a competitve environment. New product development comprises knowledge creation and search and can be organized in different ways. In this paper, we study the performance of several alternative organizational models for new product development using a model of distributed, self-adapting (learning) agents. The agents (a marketing and a production agent) are modelled via neural networks. The artificial new product development process analyzed starts with learning on the basis of an initial set of production and marketing data about possible products and their evaluation. Subsequently, in each step of the process, the agents search for a better product with their current models of the environment and, then, refine their representations based on additional prototypes generated (new learning data). Within this framework, we investigate the influence of different types of new product search methods and generating prototypes/learning according to the performance of individual agents and the organization as a whole. In particular, sequential, team-based Trial & Error and House of Quality guided search are combined with prototype sampling methods of different intensity and breadth; also, the complexity of the agents (number of hidden units) is varied. It turns out that both the knowledge base and the search procedure have a significant impact on the agents' generalization ability and success in new product development. Andreas Mild was born in Vienna, Austria, in 1973. He studied business administration in Vienna, in 2000 he received his Ph.D. from the Vienna University of Economics and Business Administration (WU). Since 2003 he is associated professor at the WU. He has been guest professor in Frankfurt, Germany, Sydney, Australia and Bangkok, Thailand. Previous research appeared in Journals such as MIS Quarterly, Management Science and Marketing Science. His research interests currently include agent-based models, new product development and recommender systems. Alfred Taudes was born in Vienna, Austria, in 1959. He studied business administration and management information systems (MIS) in Vienna (doctorate 1984), in 1991 he received his Ph.D. from the Vienna University of Economics and Business Administration (WU). He was assistant professor at the WU (1986–1991) and professor for MIS at the German Universities of Augsburg (1991), Münster (1991/92) and Essen (1992/93). Since 1993, he has been professor for MIS at the WU and Head of the Department for Production Management. Since 2000, Dr. Taudes has been speaker for the Special Research Area SFB # 010 (Adaptive Information Systems and Modelling in Economics and Management Science). His research interests currently include agent-based models of industry structures, management of innovation, technology management and business strategy.     

Internet与管理信息系统的变革

本文阐述了Ｉｎｔｅｒｎｅｔ／Ｉｎｔｒａｎｅｔ的有关概念和技术，分析了传统ＭＩＳ的不足与缺陷，并且结合ＭＩＳ的特点和Ｉｎｔｅｒｎｅｔ／Ｉｎｔｒａｎｅｔ的技术，提出了一种新型的ＭＩＳ结构。     

Analyzing infeasible nonlinear programs

Nonlinear optimizers often report infeasibility during the process of initial construction of a model, or alterations to an existing model. Because solvers are unable to decide feasibility of a nonlinear constraint set with perfect accuracy, there are numerous possible explanations: the physical model really is infeasible, there is an error in the nonlinear constraint set causing infeasibility, or the model is feasible but the initial point or solver parameters are poorly chosen. It is difficult to proceed to a diagnosis of the problem in a large NLP.This paper presents an algorithm providing automated assistance in analyzing infeasible NLPs. The deletion filtering algorithm isolates a Minimal Intractable Subsystem (MIS) of constraints, a minimal set of constraints which appears infeasible to the solver given a specified initial point and parameter settings. The MIS may be as small as a few constraints from among the very much larger set defining the original model, and helps to focus the examination, thereby speeding the diagnosis. A computer tool embodying the algorithm, LSGRG (MIS), is developed and applied to demonstration examples.     

Multirate finite step methods for linear acoustics

Many processes contain phenomena on different time scales, leading to model equations with fast and small parts. There are several approaches to solve these equations, like additive Runge Kutta methods or multirate infinitesimal steps methods (MIS). Both methods make use of the additive splitting of the ODE in fast and small parts. The multiple infinitesimal step method integrates the slow part with a large macro stepsize, whereas the fast terms are solved with several smaller steps of a simpler method. The order conditions of a MIS method are derived under the assumption of the exact integration of the fast parts. We develop the multirate finite step methods (MFS). These methods are derived from the MIS methods, by taking a simple small scale integrator for the fast terms. This small scale integrator uses the same number of steps in each stage. With these assumptions, we derive the order conditions, such that the order is independent in the number of small steps. (© 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)     

TVD-based Finite Volume Methods for Sound-Advection-Buyancy Systems

Split-explicit Runge-Kutta methods provide an efficient integration procedure for hyperbolic systems with coupled slow and fast wave phenomena. They are generalized to multirate infinitesimal step methods (MIS) in order to develop an order to provide order conditions and to establish stability properties. The construction of MIS methods is based on an underlying Runge-Kutta method. This method is choosen to be total variation diminishing (TVD) to improve the stability properties of the method. Here, the maximum Courant number is improved by a factor of 4. (© 2014 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)