黑龙江科学2024,Vol.15Issue(15) :111-113.

AHP法评估学籍管理系统中关键决策因素及其相关性分析

Evaluation of the Key Decision Factors of the Student Status Management System and its Correlation Analysis with AHP Method

张明媚 周全
黑龙江科学2024,Vol.15Issue(15) :111-113.

AHP法评估学籍管理系统中关键决策因素及其相关性分析

Evaluation of the Key Decision Factors of the Student Status Management System and its Correlation Analysis with AHP Method

张明媚 1周全1
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作者信息

  • 1. 山东华宇工学院,山东 德州 253034
  • 折叠

摘要

采用层次分析法和线性回归分析法对学籍管理系统中重要决策因素的重要性和相关性进行综合评价,揭示这些重要因素对学籍管理系统有效性的具体影响,并根据实验数据提出系统优化建议.通过建立层次模型分析学籍管理系统的主要绩效指标,进一步验证层次分析的结果.通过回归分析发现,基础功能和拓展功能对学籍管理整体满意度产生了巨大的积极影响,但基础功能的影响更大,强调了这些重要的功能在设计和改善学籍管理系统时的有效性.将回归分析与AHP方法相结合不仅能系统性评估学籍管理系统的有效性,发现不同功能对用户满意度的具体贡献,还提供了更全面的框架,以便更详细地确定和量化决策因素的影响作用.

Abstract

The study comprehensively evaluates the importance and relevance of important decision-making factors in the school roll management system with AHP and linear regression analysis,reveals the specific impact of these important factors on the effectiveness of the school roll management system,and puts forward suggestions for system optimization according to the experimental data.Through the establishment of hierarchical model,the study analyzes the main performance indicators of the student status management system,and further verifies the results of hierarchical analysis.Regression analysis shows that basic and extended features have huge positive impact on overall satisfaction,but basic features have an even bigger impact.The study emphasizes these important functions are effective in designing and improving the system.The combination of regression analysis with AHP can not only systematically evaluate the effectiveness of a student status management system,and discover the specific contributions of different functions to user satisfaction,but also provide a more comprehensive framework for determining and quantifying the impact of decision factors in more detail.

关键词

学籍管理系统/AHP/系统功能/系统效率/用户满意度

Key words

Student status management system/AHP/System function/System efficiency/User satisfaction

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出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
参考文献量2
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