Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods

Junho Lee; Byung-in Roh; Dong-kyoo Shin

Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods

Junho Lee, Byung-in Roh, Dong-kyoo Shin, Journal of Internet Computing and Services, Vol. 24, No. 6, pp. 145-153, Dec. 2023

10.7472/jksii.2023.24.6.145, Full Text:

Keywords: Military, fitness, RFM customer analysis, RSC analysis model

Abstract

This study emphasizes the essential need in the military for effective measurement and monitoring of soldiers' physical fitness, health, and exercise capabilities to enhance both their overall fitness and combat effectiveness. The effective assessment of physical fitness is considered a core element of management, aligning with principles of modern management. Particularly, preparing soldiers with robust physical fitness is deemed crucial for adapting to dynamic changes on the battlefield. In this research, the RFM (Recency, Frequency, Monetary) customer analysis and clustering methods, validated in e-commerce, are introduced as a basis for applying an AI-driven customer analysis approach to assess military personnel fitness. To achieve this, the study explores the incorporation of the RSC (Reveal, Sustainable, Control) analysis model. This model aims to effectively categorize and monitor military personnel fitness. The application of the RFM technique in the RSC analysis model quantifies and models military fitness, fostering continuous improvement and seeking strategies to enhance the effectiveness of fitness management. Through these methods, the study develops an AI customer analysis technique applied to the RSC clustering analysis method for improving and sustaining military personnel fitness.

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Cite this article

[APA Style]

Lee, J., Roh, B., & Shin, D. (2023). Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods. Journal of Internet Computing and Services, 24(6), 145-153. DOI: 10.7472/jksii.2023.24.6.145.

[IEEE Style]

J. Lee, B. Roh, D. Shin, "Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods," Journal of Internet Computing and Services, vol. 24, no. 6, pp. 145-153, 2023. DOI: 10.7472/jksii.2023.24.6.145.

[ACM Style]

Junho Lee, Byung-in Roh, and Dong-kyoo Shin. 2023. Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods. Journal of Internet Computing and Services, 24, 6, (2023), 145-153. DOI: 10.7472/jksii.2023.24.6.145.