유사장비 데이터 기반 신뢰도 예측 방안 연구

남궁영수¹^{, *} ; 석준영¹ ; 손은호² ; 박병호²

1LIG D&A 미래전장IPS연구소 연구원
2LIG D&A 미래전장IPS연구소 선임연구원

Similar-Item Prediction Method: A Data-Driven Approach Based on Similarity and Distance

Youngsoo Namgoong¹^{, *} ; Junyeong Seok¹ ; Eunho Son² ; Byeongho Park²

1Research engineer, Future Warfare Integrated Product Support R&D Lab., LIG Defense&Aerospace
2Research engineer, Future Warfare Integrated Product Support R&D Lab., LIG Defense&Aerospace

Correspondence to: *Youngsoo Namgoong 20, Daewangpangyo-ro 851beon-gil, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13449, Republic of Korea E-mail: youngsoo.namgoong@ligdna.com

초록

본 논문에서는 무기체계 신뢰도 분석에 활용되는 유사장비비교법의 정량화를 위해 다양한 데이터 항목별 가중합 방식을 도입한 통합 유사도 산출 방법론을 제안한다. 제안 방법론을 대표성있는 데이터에 적용한 결과, 유사도가 높은 장비를 효과적으로 식별함으로써 재현성 있고 객관적인 유사 장비 선정이 가능하며 대규모 데이터에 대한 유사도 계산 자동화로 분석 효율성을 크게 향상시킬 수 있음을 확인하였다.

Abstract

In this paper, we propose an integrated similarity calculation methodology that incorporates various weighted-sum approaches for different data items to quantify the similar-item prediction method used in weapon‑system reliability analysis. Applying the proposed methodology to representative data demonstrated that it can effectively identify equipment with high similarity, enabling reproducible and objective selection of comparable systems. Additionally, automating similarity calculations for large datasets significantly improves analysis efficiency.

Keywords:

Similar-Item Prediction Method, Euclidean Distance, Manhattan Distance, Jaccard Similarity

키워드:

유사장비비교법, 유클리디안 거리, 맨해튼 거리, 자카드 유사도

References

방위사업청, 무기체계 RAM업무지침, 2021.
Byung-ok Kil, ‘Study on the Establishment Plan of RAM Analysis Model for the Defense Weapon System,’ Journal of Northeast Asian Studies, VOL. 23, NO. 1, 2018, pp. 77-98. [https://doi.org/10.21807/JNAS.2018.03.23.1.77]
DOD, MIL-HDBK-217F Notice 2, 1991.
DOD, MIL-HDBK-338B, 1998.
Seung-Jin Han & Soonhuem Paik, ‘RAM Goal-Setting Using the AHP and Field Data of Similar Weapon Systems,’ Journal of Applied Reliability, VOL. 20, NO. 2, 2020, pp. 154-162. [https://doi.org/10.33162/JAR.2020.6.20.2.154]
서영진·박경준, ‘BOM 데이터베이스를 활용한 무기체계 유사 장비 분석모델,’ 2024년도 한국통신학회 하계종합학술발표회 논문집, 2024.06, pp. 1751-1752.
Mario Köppen, ‘The Curse of Dimensionality,’ in proceedings of the 5th Online World Conference on Soft Computing in Industrial Applications (WSC5), VOL. 1, 2000.
Brian Young, Tom Faris, & Luigi Armogida, ‘Levenshtein Distance as a Measure of Accuracy and Precision in Forensic PCR-MPS Methods,’ Forensic Science International: Genetics, VOL. 55, 2021, Article 102594. [https://doi.org/10.1016/j.fsigen.2021.102594]
A. Zgank & Z. Kacic, ‘Predicting the Acoustic Confusability Between Words for a Speech Recognition System Using Levenshtein Distance,’ Elektronika Ir Elektrotechnika, VOL. 18, NO. 8, 2012, pp. 81-84. [https://doi.org/10.5755/j01.eee.18.8.2628]