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    Research on Machine Learning Methods and Applications in Evaluating Fund Projects
    机器学习方法及其在基金项目评审中的应用研究
    Intelligent Interactive Documents Retrieval in the Evaluation Management of Fund Projects
    基金项目评审管理中智能交互式文档检索
    A Fuzzy Group Decision Method of Evaluating Scientific Researching Fund Projects
    科研基金项目评审的模糊群决策方法
    AN ATTEMPT OF THE EVALUATION OF APPLICATIONS AS GENERAL PROJECTS WITHOUT CHIEF REVIEWER IN SESSION OF EVALUATION PANEL
    无主审制在面上基金项目评审中的尝试
    System perfecting:appraisal and approval of the national social science fund items in China
    关于完善国家社科基金项目评审制度的若干思考
    Application of AHP Method in Evaluating Projects of National Natural Science Fund
    层次分析法在国家自然科学基金项目评审中的应用
    Application of AHM Method in Evaluating Projects Applying National Natural Science Fund
    属性层次模型在国家自然科学基金项目评审中的应用
    SOME THOUGHTS ON “REOCCURRING RESEARCH” EVALUATION STANDARD OF NATURAL SCIENCE FOUNDATION PROJECTS
    谈基金项目评审中“重复性研究”的评判标准
    DISCUSSION ON REFORMING THE PEER-REVIEW SYSTEM AND MANAGEMENT MECHANISM OF PROJECTS FUNDED BY NSFC
    改革科学基金项目评审和管理机制的探讨
    The Quantitative Methodology for Evaluating the Academic Performance of the Biology Fund Projects in Taiwan
    台湾生物学科基金项目评审中学术业绩评价的定量化方法
    AN ANALYSIS OF PROJECTS MANAGED BY DIVISION OF GEOGRAPHY,DEPARTMENT OF EARTH SCIENCES,NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA IN 2003
    2003年度地理学基金项目评审及成果分析
    AN ANALYSIS OF PROJECTS MANAGED BY DIVISION OF GEOGRAPHY,DEPARTMENT OF EARTH SCIENCES,NATIONAL NATURAL SCIENCE FOUNDATION OF CHINA IN 2005
    2005年度地理学基金项目评审及成果分析
    An Analysis of Projects Managed by Division of Geography,Department of Earth Sciences,National Natural Science Foundation of China in 2006
    2006年度地理学基金项目评审及成果分析
    By using the principles of statistics,computational intelligence, systems engineering, and management sciences, thisdissertation tries to make a systematic study about the ML theories and methods,concept learning algorithms, and support vectors machine, and their applications inthe evaluation and management of fund projects. The main contents are as follows.
    本文应用统计学、计算智能、系统工程和管理科学等理论,在对机器学习理论、概念规则学习方法和支持向量机方法等进行了系统深入的研究,并将机器学习方法应用于基金项目评审和管理。
    1. The general framework of intelligent systems or knowledge systems isintroduced, and the relation between machine learning and computational intelligenceis analyzed. Then the concept, methods, and applications of machine learning arereviewed, and the idea of using machine learning methods to assist the evaluation andmanagement of fund projects is advanced.
    本主要研究内容如下:1、描述了智能系统或知识系统的一般框架,论述了机器学习与计算智能的联系,分析了机器学习的概念、方法和典型应用领域,提出了将机器学习方法应用于科学基金项目评审和管理的思路。
    5. By incorporating decision support systems and multi-agents technologies, wepropose the machine learning based decision support system for evaluation andmanagement of fund projects (PE&PRDSS).
    5、应用决策支持系统和Multi-Agents技术,研究了基于机器学习方法的基金项目评审决策支持系统。
    The prototypemodel of PE&PRDSS is designed by using multi-agents technology, and the functionand control pattern are described.
    给出了基于机器学习的基金项目评审决策支持系统PE&PRDSS-MAS的整体原型设计,描述了各Agents的功能和控制方式。
    The main work is as follows:First, set up the evaluation model of NSFC with application of multiple sequence algorithm, discuss the mathematical properties related, and present the final application result as well.
    首先应用复合序列比较方法,建立关于上述方法的自然科学基金项目评审模型,讨论了有关性质,并最终给出基金项目评审的复合序列比较方法及应用结果。
    At last, associated with the qualitative and quantitative method, develop the software of the project evaluation and the specialist anti-evaluation by the above algorithms, then get the perfect result after being applied actually in some field project evaluation in NSFC.
    最后,将关于项目评审的归一化方法及专家反评估方法,结合定性和定量的方法,开发国家自然科学基金项目评审软件,并在国家自然基金委员会的某学科项目评审中得到实际应用。
    In this thesis, using AHP method, a program for evaluating projects of national natural science fund is designed. It can make the evaluation more fair and reasonable.
    针对国家自然科学基金项目评审的实际情况 ,设计了应用 AHP法评价受理项目的具体实现步骤 ,使项目的评审更加趋于公正、合理 .
 

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