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Research on Combination Forecast Model of Language Development Trend Based on Grey Relational Degree —— A Case Study of English

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• Volume 5,Issue 3, May 2018

Year:

2018

Type of Publication:

Article

Keywords:

Grey Correlation Degree, Combination Forecasting Model, Language Development Trend, English

Authors:

• Hu, Chenglong
• Wang, Hanzeng
• Sun, Jinhan
• Xu, Hui

Journal:

IJIRES

Volume:

5

Number:

3

Pages:

309-313

Month:

May

ISSN:

2349-5219

BibTex:

@article{1284, author = "Chenglong Hu and Hanzeng Wang and Jinhan Sun and Hui Xu", abstract = "Due to the relative independence of various nationalities in the world and the differences in the natural and historical conditions of various countries, the development of the world{\&}#039;s language and culture is not a relationship between simplification and systematization, but a trend of diversification and mutual integration. In order to study the development trends of various languages in the context of global diversity, the distribution of the number of native speakers and the total number of language users is predicted. This paper takes English as an example, randomly selects five factors for research, and from the perspective of grey modeling method, constructs a grey relational forecasting model based on grey relational degree, and grey correlation analysis of many factors that influence the language development trend, to find out the main factors affecting the distribution of English users. Comparing the prediction results with the prediction results of the regression model, the results show that the accuracy of the grey combination forecasting model proposed in this paper is very high", issn = "23495219", journal = "IJIRES", keywords = "Grey Correlation Degree, Combination Forecasting Model, Language Development Trend, English", month = "May", note = "This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/", number = "3", pages = "309-313", title = "{R}esearch on {C}ombination {F}orecast {M}odel of {L}anguage {D}evelopment {T}rend {B}ased on {G}rey {R}elational {D}egree —— {A} {C}ase {S}tudy of {E}ngl", volume = "5", year = "2018", }

Note:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/

Abstract:

Due to the relative independence of various nationalities in the world and the differences in the natural and historical conditions of various countries, the development of the world's language and culture is not a relationship between simplification and systematization, but a trend of diversification and mutual integration. In order to study the development trends of various languages in the context of global diversity, the distribution of the number of native speakers and the total number of language users is predicted. This paper takes English as an example, randomly selects five factors for research, and from the perspective of grey modeling method, constructs a grey relational forecasting model based on grey relational degree, and grey correlation analysis of many factors that influence the language development trend, to find out the main factors affecting the distribution of English users. Comparing the prediction results with the prediction results of the regression model, the results show that the accuracy of the grey combination forecasting model proposed in this paper is very high

Full text: IJIRES_1284_FINAL.pdf Online version [Bibtex]