构建高校和谐园的评价模型和信息系统研究

发布时间：2018-08-11 13:08

【摘要】：本文研究的高校和谐校园评价信息系统是通过对和谐校园评价指标体系的研究,运用一系列可操作的科学手段,通过对专家的评分数据信息进行分析和整理,对影响高效和谐校园建设的指标进行价值判断,从而使学校保持自身和谐校园建设过程中的优势的同时了解自身存在的不足,为高校进一步推进和谐校园建设提供决策依据。本文前两章对高校和谐校园评价模型建设的方法和技术进行了简单的述评,对决策优化算法进行了简析。后三章借鉴和谐校园评价指标体系,首先针对传统的层次分析法中存在的主观性较强的特点,用改进的层次分析法(AHP)为基础结合运用遗传算法建立高校和谐校园评价指标模型,并计算各指标的权重,得到指标权重模型；然后用改进的灰色聚类分析法(改进的白化权函数)为基础,结合模糊综合评价法对高校和谐校园评价指标体系中的指标进行评价,得到被评价高校和谐程度的定量分析结果；接着使用决策树算法,利用改进的ID3算法构造出决策树,解决高校和谐校园评价结果分析从定量分析转化为定性分析的问题,给出定性分析结果,为学校和谐校园建设提供决策；最后,利用大数据的思想构建高效和谐校园评价信息系统,使得高效和谐校园评价更加网络化、信息化和科学化。高校和谐校园评价信息系统的建设能够达到预期的辅助决策效果,从而让被评价高校认识到自身的不足的同时进一步推进和谐校园建设,同时也为数据挖掘技术在高效和谐校园评价模型与信息系统开发中的应用提供了广阔的前景。
[Abstract]:The evaluation information system of harmonious campus in colleges and universities studied in this paper is based on the study of the evaluation index system of harmonious campus, using a series of operable scientific means, through the analysis and collation of the evaluation data information of experts. This paper makes a value judgment on the indexes that affect the construction of a harmonious and efficient campus, so as to make the school maintain its own advantages in the process of building a harmonious campus, and at the same time, understand its own shortcomings, and provide a basis for decision-making in further promoting the construction of a harmonious campus in colleges and universities. In the first two chapters, the methods and techniques of constructing a harmonious campus evaluation model in colleges and universities are briefly reviewed, and the decision optimization algorithm is analyzed briefly. The last three chapters draw lessons from the evaluation index system of harmonious campus. Firstly, aiming at the subjective characteristics of traditional analytic hierarchy process (AHP), this paper combines the improved AHP (AHP) with genetic algorithm to establish the evaluation index model of harmonious campus in colleges and universities. The weight of each index is calculated, and the index weight model is obtained. Then, based on the improved grey cluster analysis (improved whitening weight function) and the fuzzy comprehensive evaluation method, the indexes in the evaluation index system of harmonious campus in colleges and universities are evaluated. Then the decision tree algorithm is used to construct the decision tree using the improved ID3 algorithm to solve the problem that the evaluation result of harmonious campus in colleges and universities is transformed from quantitative analysis to qualitative analysis. The qualitative analysis results are given to provide a decision for the construction of a harmonious campus. Finally, an efficient and harmonious campus evaluation information system is constructed by using the idea of big data, which makes the evaluation of an efficient and harmonious campus more networked, informational and scientific. The construction of a harmonious campus evaluation information system in colleges and universities can achieve the expected effect of auxiliary decision-making, so that the evaluated colleges and universities can realize their own shortcomings and further promote the construction of harmonious campus. At the same time, it also provides a broad prospect for the application of data mining technology in the development of efficient and harmonious campus evaluation model and information system.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：G647;TP311.13

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