ISO-690 (author-date, English)

HONG YANG und JIANGLI LIU, 2024. A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model. AIMS Mathematics. 1 April 2024. Vol. 9, no. 4, p. 8689-8711. DOI 10.3934/math.2024421.

Elsevier - Harvard (with titles)

Hong Yang, Jiangli Liu, 2024. A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model. AIMS Mathematics 9, 8689-8711. https://doi.org/10.3934/math.2024421

American Psychological Association 7th edition

Hong Yang, & Jiangli Liu. (2024). A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model. AIMS Mathematics, 9(4), 8689-8711. https://doi.org/10.3934/math.2024421

Springer - Basic (author-date)

Hong Yang, Jiangli Liu (2024) A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model.. AIMS Mathematics 9:8689-8711. https://doi.org/10.3934/math.2024421

Juristische Zitierweise (Stüber) (Deutsch)

Hong Yang/ Jiangli Liu, A novel unemployment rate forecasting method based on fuzzy information granules and GM(1,1) model., AIMS Mathematics 2024, 8689-8711.

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