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Study on the Development of Synthesis Evaluation System Based on an Improved Fuzzy-AHP Algorithm

机译:基于改进模糊AHP算法的合成评估系统发展研究

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In this paper, a more subjective Synthesis Evaluation algorithm is studied, in which hierarchy of criteria is generated through analysing the internal structure of research data by using exploratory factor analysis, weights are determined by using confirmatory factor analysis and with the application of TFN, more reliable judgements and reasonable evaluation results will be accquired. Furthermore, a computer aided Fuzzy-AHP evaluation prototype with B/S structure applying the above algorithm is devleped in Microsoft Visual Studio. Net 2005 environment through proposing a function model by employing IDEFO and constructing a conceptual relation model of database by employing UML. The system is capable of putting into the hierarchy of criteria dynamically and enables experts to score a project through internet, which provides a fast way to solve the problems of fuzzy evaluation.
机译:在本文中,研究了更主观的合成评估算法,其中通过使用探索性因子分析来分析研究数据的内部结构来产生标准的层次,通过使用确认因子分析和TFN的应用来确定权重,更多可靠的判断和合理的评估结果将被要求。此外,在Microsoft Visual Studio中,可以为应用上述算法的B / S结构进行计算机辅助模糊-AHP评估原型。通过使用IDEFO来提出函数模型并通过使用UML来构建数据库概念关系模型来创建2005年环境。该系统能够动态进入标准的层次结构,并使专家通过互联网进行项目,这提供了解决模糊评估问题的快速方法。

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