基于WSR方法论的信息系统项目评价研究

以物理 -事理 -人理 (WSR)系统方法论为指导 ,分析了信息系统项目评价的重要性和特殊性。探讨了物理、事理、人理之间的关系 ,WSR的特性以及应用途径。提出了评价信息系统项目新的指标体系模型和算法———DHGF集成法。     

基于质量评价技术的多信道语音选优决策系统

在分析远距离多信道同源语音信道特性的基础上 ,用若干特征参数来表征信道传输的语音质量并建立了语音质量客观评价模型 ,结合人的听觉特性等因素开发出一种基于语音质量客观评价技术的优质语音信道选优决策系统。该系统能够确保语音通信始终在最佳信道上 ,且在切换过程中无跳变感觉 ,不影响听觉效果 ,现已在实际工程中得到成功运用并取得了满意效果。     

综合交通枢纽的虚拟组织协同管理模式研究

交通运输业是一个集多种运输方式于一体的综合运输系统。其中综合交通枢纽的规划与管理是一个重要环节,运用系统工程和管理理论来研究我国综合交通枢纽的作业过程、信息共享和多组织的Ａｇｅｎｔ代理管理模式等将有助于综合运输体系的形成。本文系统地绘出综合交通枢纽的管理与发展过程,提出综合枢纽的虚拟组织发展模式,为综合交通枢纽管理向有序化发展提供一种尝试。     

福建省经济增长的效率评价

为了定量地评价经济运行质量,应用数据包络分析(DEA)的理论和方法,对福建省改革开放以来经济增长效率进行评价,得到一些对促进经济增长有益的结论。     

基于模糊规则的病虫害预防研究

基于Takagi-Sugeno模糊逻辑系统,运用遗传算法提取模糊规划,构建系统的模糊模型,并用于病虫害的预测工作。图2,表1,参6。     

基于遗传算法的管理信息系统的智能分解

将遗传算法原理应用于管理信息大系统的结构化分解,并对具体分解技术进行了详细描述,最后对一个具体实例进行了仿真计算。仿真说明,该算法具有全局快速收敛性、并行性和极高的分解效率。     

Frequentist model averaging estimation: a review

In applications, the traditional estimation procedure generally begins with model selection. Once a specific model is selected, subsequent estimation is conducted under the selected model without consideration of the uncertainty from the selection process. This often leads to the underreporting of variability and too optimistic confidence sets. Model averaging estimation is an alternative to this procedure, which incorporates model uncertainty into the estimation process. In recent years, there has been a rising interest in model averaging from the frequentist perspective, and some important progresses have been made. In this paper, the theory and methods on frequentist model averaging estimation are surveyed. Some future research topics are also discussed.     

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.     

Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters.In the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem.It is shown that the group consensus is reachable even when the system contains the uncertain parameters.Furthermore,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is considered.Simulation results are finally provided to validate the effectiveness of the theoretical analysis.     

Consensus design for continuous-time multi-agent systems with communication delay

This paper investigates a consensus design problem for continuous-time first-order multiagent systems with uniform constant communication delay.Provided that the agent dynamic is unstable and the diagraph is undirected,sufficient conditions are derived to guarantee consensus.The key technique is the adoption of historical input information in the protocol.Especially,when agent＇s own historical input information is used in the protocol design,the consensus condition is constructed in terms of agent dynamic,communication delay,and the eigenratio of the network topology.Simulation result is presented to validate the effectiveness of the theoretical result.