Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

April 28, 2023


Pages


DOI

Article

The construction of a practical platform for party building and ideological and political education based on information fusion

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Authors

Bin Zhang Affiliation:
College of Marxism, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, China
, Yuan Li Affiliation:
Student affairs office, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, China
and Yuxue Yu Affiliation:
College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, China


Abstract

Party building and ideological and political education have received much attention in recent years, and the construction of its work practice platform is particularly important. In order to improve the level of party building and ideological and political education in colleges and universities, In this paper is based on the information fusion technique to fuse relevant factors after data, feature, and decision levels. Using sampling calculation, the percentage of relevant factors was calculated as 37%, 38%, and 25%, and the Kalman filter algorithm was used to test the information data. The two factors that accounted for more were selected as the platform construction indexes, and the information was fused with the maximum likelihood estimation and D-S algorithm to build the party construction and ideological and political education work practice platform. It is evident that the practice platform based on information fusion technology can promote the development of ideological and political education.


Keywords

Information fusion techniques, Maximum likelihood estimation, Kalman filtering algorithm, D-S algorithm, Platform construction, 65Y99


Citation

Zhang, B., Li, Y., & Yu, Y. (2023). The construction of a practical platform for party building and ideological and political education based on information fusion. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00082

Published by: Engineering Journals

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