The Weighting Analysis of Influence Factors in Kindergarten via Grey System Theory Method

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Wei-Ling Liu
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引用次数: 3

Abstract

Early childhood education began in the 18 century, and was done mostly charity. Society has changed over the 30 years and now both parents need to work. Because of this, early childhood education is much more important. It is also more difficult to pick a good school because now parent have more choices, especially because there are schools all over Taiwan. In past research, we cannot find a clear method that helped parents choose quality school. Hence, in this paper, we use the grey relational grade, GM(h, N) and grey entropy as the mathematics models. The main purpose is to rank the influence factor for kindergarten and give suggestions to parents on the best way to pick a quality school. Based on the practical analysis, this study has made it possible to get access to the sequence and value of each variable. In addition, the result of this study is compatible with thoughts of individuals and parents may take the study result for the reference as making choices of kindergarten.
基于灰色系统理论的幼儿园影响因素权重分析
早期儿童教育始于18世纪,主要是慈善事业。30年来,社会发生了变化,现在父母双方都需要工作。正因为如此,儿童早期教育显得尤为重要。挑选一所好学校也更难了,因为现在家长有更多的选择,特别是因为台湾到处都有学校。在过去的研究中,我们没有找到一个明确的方法来帮助家长选择优质学校。因此,本文采用灰色关联度、GM(h, N)和灰色熵作为数学模型。主要目的是对幼儿园的影响因素进行排名,并为家长选择优质学校的最佳方式提供建议。在实际分析的基础上,本研究使获取各变量的序列和值成为可能。此外,本研究的结果与个体的想法是一致的,家长可以将研究结果作为幼儿园选择的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
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