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

Wei Huang
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Abstract

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 acquired. Furthermore, a computer aided Fuzzy-AHP evaluation prototype with B/S structure applying the above algorithm is developed in Microsoft Visual Studio. Net 2005 environment through proposing a function model by employing IDEF0 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.
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基于改进模糊层次分析法的综合评价系统开发研究
本文研究了一种更加主观的综合评价算法,该算法通过探索性因子分析对研究数据的内部结构进行分析,生成评判标准层次,通过验证性因子分析确定权重,并通过TFN的应用,获得更加可靠的判断和合理的评价结果。并在Microsoft Visual Studio中应用上述算法开发了B/S结构的计算机辅助模糊层次分析法评价原型。Net 2005环境下,采用IDEF0建立了数据库的功能模型,采用UML建立了数据库的概念关系模型。该系统能够动态地将评判标准纳入评判层次,使专家能够通过网络对项目进行评分,为解决模糊评价问题提供了一种快速的方法。
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