台湾、福建2300万人的GM模型预测

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
T. Hsu
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引用次数: 1

摘要

多年来,2300万已经成为台湾人熟悉的名词。甚至所有的政治人物都喜欢提到“2300万人的民意”,这造成了台湾人口已经达到2300万人的误解。事实上,在1989年4月台湾和福建地区人口达到2000万人后,由于出生率的缓慢下降,人口增长开始下降。从1989年到1999年,每五年大约有100万人,直到1999年,人口达到2200万人。9年后,人口达到2300万人。我们知道人口政策是发达国家的基本政策之一,人口总量是政府实施各种政策的主要参考。此外,人类生存源的有限性会对整个生态平衡造成影响,基于这一现象,本文倾向于利用灰色Verhulst和GM(1,1)方法建立台湾(包括金门和马祖)人口的饱和分析模型。建立并预测了人口数量,并对台湾达到2300万人的饱和值进行了案例分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Predication of 23 Million Persons on Taiwan and Fukien via GM Model
For years, 23 million persons have already become a familiar term among Taiwanese people. Even all-political figures are fond of mentioning ”the public opinions of 23 million persons” which causes the misunderstanding of the population of Taiwan has already reached 23 million persons. In fact, after the population of Taiwan and Fukien area reached 20 million persons in April, 1989, the population growth started to drop due to the slowly decline of birth rate. From 1989 to 1999, about one million persons every five years until 1999, the population were 22 million persons. Then, the population reached 23 million persons after nine years. We know that population policy is one of the essential policies of developed countries, the sum of population acts as a main reference for the government to conduct all kinds of policies. Additionally, the limitation of human being's living source will cause the impact of whole ecology balance, based on this phenomenon, this paper tended to set up a saturated analysis model of the population of Taiwan (including Kinmen and Matsu) by utilizing grey Verhulst and GM (1, 1) method. It built and predicts the population number and conducts a case analysis toward the saturation value of reaching 23 million persons on Taiwan.
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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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