计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 623-628.doi: 10.11896/jsjkx.210200021
骆菁菁1, 唐卫贞2, 丁继婷3
LUO Jing-jing1, TANG Wei-zhen2, DING Ji-ting3
摘要: 为解决管制仿真训练的指标重复性评分问题,文中基于皮尔逊相关系数进行指标关系研究,利用显著水平进行检验,并对评分数值算法进行修正。文中提取云端小程序评分数据库4 162项,以因子分析理论为研究方法,采用主成分分析法进行因子载荷阵求解,并使用正交旋转法扩大载荷值,合理解释公共因子,建立管制学员素质能力模型,实现数据可视化。研究结果显示,去关联性后的指标评分统一呈下降态势,起伏变化与原评价分基本一致,可依照数据相关性与数值独立性进行部分指标描述更改;因子分析后可通过雷达图清晰地反映出学员能力,显示学员素质能力的优劣情况,也便于科学地进行管制岗位分配,是数据可视化的有效运用。
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[1] BELLO S A,OYEDELE L O,AKINADE O O,et al.Cloud computing in construction industry:Use cases benefits and challenges[J].Automation in Construction,2021,122:103441. [2] LI X G.The development of designated driving application based on Android platform and Ali cloud sever[C]//2016 2nd Workshop on Advanced Research and Technology in Industry Applications.2016:633-636. [3] KUMAR N,KUMAR G,KUMAR S R.Big data analytics application for sustainable manufacturing operations:analysis of strategic factors[J].Clean Technologies and Environmental Policy,2021(23):1-25. [4] CHOI D,LEE H,BOK K,et al.Design and implementation of an academic expert system through big data analysis[J].The Journal of Supercomputing,2021(78):1-25. [5] LIANG J Y,FENG C J,SONG P.A Survey on Correlation Analysis of Big Data[J].Chinese JournaL of Computers,2016,39(1):1-18. [6] JIN L,LI Y.Discrimination of Several Correlation Coefficients and Their Implementation in R Software[J].Statistics & Information Forum,2019,34(4):3-11. [7] SHI S,LIU W Y.Factor Analysis Method Research of Evaluation Index Connection[J].Mathematics in Economics,2010,27(2):23-27. [8] XU W P.Design and Implementation of Data Visualization System Architecture[D].Beijing:Beijing Jiaotong University,2015. [9] LEE A,KIM S E,SUH K D.Estimation of Stability Number of Rock Armor Using Artificial Neural Network Combined with Principal Component Analysis[J].Procedia Engineering,2015,116:149-154. [10] LIU Y,YANG Q W,YAO Y H,et al.Current Situation and Existing Problems of Factor Analysis Method[J].Journal of Finance and Accounting,2019,7(6):192-199. [11] WANG Y,DENG X D.Empirical Study on the PerformanceEvaluation of Agricultural Products Supply Chain Based on Factor Analysis[J].China Business and Market,2015,3:10-16. [12] MOSLEM I,DIANAT I,OLFAT I,et al.Selection of elite F3 lines in cucumber using factor analysis method[J].International Journal of Vegetable Science,2020,26(5):498-505. [13] WANG M M.Research on PTC Cable Materials Based on Principal Component Analysis and Quantitative Correspondence Factor Analysis Method in Big Data Technology[C]//IOP Conference Series:Materials Science and Engineering,2019,493(1):012048. [14] WEN R Y,WANG H Y.Evaluation of Air Traffic Complexity Based on Factor Analysis and K-means Clustering[J].Journal of Taiyuan University of Technology,2016,47(3):384-388. [15] WEIDE A C.A Beauducel.Varimax Rotation Based on Gradient Projection is a Feasible Alternative to SPSS[J].Frontiers in Psychology,2019,00645. [16] ALAVI S M,EBRAHIMI A,POURMOURDININ E,et al.Identifying and Classifying the FactorsAffecting Fast Food Store SelectionUsing Factor Analysis Method[J].Journal of Business Management,2018,9(4):827-854. [17] YE Y.Study on the Evaluation Index System of Guangdong's All-for-One Tourism Destination Competitiveness Based on Factor and Cluster Analysis[J].Open Journal of Social sciences,2019,7(3):418-428. |
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