经济数据处理分析方法在奖学金评定中的应用

Application of Economic Data Processing and Analysis Method in Scholarship Evaluation

"十三五"规划纲要中指出,我国要实施国家大数据战略,当下中国已进入大数据时代,面对一系列的经济数据,通常会首先使用加权平均、标准化等数据处理方法对数据进行处理,与此同时,可能会使用层次分析法、模糊层次分析法为切入点对数据进行分析.本文针对奖学金评定问题,运用经济数据处理分析方法对奖学金评定问题进行研究,探讨其在奖学金评定问题中的应用,通过构造隶属函数,采用层次分析法、模糊层次分析法等多种方法,综合分析了学生各门课程成绩以及不同课程的学时数和学分数据,运用四种不同的方法分别建立了加权平均值模型、标准化模型、层次分析模型、模糊层次分析模型.最后将模型结果与实际相结合,对如何评定奖学金提出了相关可行性方案.

＂ 13th Five- Year Plan＂ pointed out that China to implement the national data strategy, the moment China has en- tered the era of large data, the face of a series of economic data, usually the first use of weighted average, standardized data processing methods such as data processing , At the same time, you may use analytic hierarchy process, fuzzy analytic hierar- chy process as the starting point to analyze the data. In this paper, the problem of scholarship evaluation is studied by using e- conomic data processing and analysis method, and its application in the evaluation of scholarship is discussed. By using mem- bership function and analytic hierarchy process, fuzzy analytic hierarchy process The students＂ grades of each course and the number of hours and credits of different courses were established. Four different methods were used to establish weighted aver- age model, standardized model, analytic hierarchy process and fuzzy analytic hierarchy process. Finally, the model results and the actual combination of scholarships on how to assess the feasibility of the proposed program.