The optimal interval combination prediction model based on vectorial angle cosine and a new aggregation operator for social security level prediction

Kexin Peng, Chao Kang, Xiwen Ru and Ligang Zhou

Journal of Forecasting, 2024, vol. 43, issue 2, 490-505

Abstract: This paper puts forwards the induced generalized ordered weighted multiple continuous ordered weighted geometric averaging (IGOWMC‐OWGA) operator, which overcomes the deficiency that the ordered weighted geometric averaging (C‐OWGA) operator can only integrate a single interval. Main properties of the proposed operator are investigated. In order to integrate interval data and obtain more accurate prediction results, an optimal model based on IGOWMC‐OWGA operator and vectorial angle cosine is constructed. Finally, the model is applied to an empirical analysis of the moderate measure value of social security level about a certain province in China. The sensitivity and comparisons of results are analyzed which shows that the established model is of good stability and can effectively improve the accuracy of prediction.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/for.3041

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jforec:v:43:y:2024:i:2:p:490-505

Access Statistics for this article

Journal of Forecasting is currently edited by Derek W. Bunn

More articles in Journal of Forecasting from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().