• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2006년도 PROCEEDINGS OF JOINT CONFERENCEOF KDISS AND KDAS
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• pp.55-62
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• 2006

Huang proposed a grey-based nearest neighbor approach to predict accurately missing attribute value in 2004. Our study proposes which way to decide the number of nearest neighbors using not only the dong's grey relational grade but also the wen's grey relational grade. Besides, our study uses not an arithmetic(unweighted) mean but a weighted one. Also, GRG is used by a weighted value when we impute a missing values. There are four different methods - DU, DW, WU, WW. The performance of WW(wen's GRG & weighted mean) method is the best of my other methods. It had been proven by Huang that his method was much better than mean imputation method and multiple imputation method. The performance of our study is far superior to that of Huang.

• Journal of the Korean Data and Information Science Society
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• 제17권2호
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• pp.421-436
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• 2006

Huang proposed a grey-based nearest neighbor approach to predict accurately missing attribute value in 2004. Our study proposes which way to decide the number of nearest neighbors using not only the deng's grey relational grade but also the wen's grey relational grade. Besides, our study uses not an arithmetic(unweighted) mean but a weighted one. Also, GRG is used by a weighted value when we impute missing values. There are four different methods - DU, DW, WU, WW. The performance of WW(Wen's GRG & weighted mean) method is the best of any other methods. It had been proven by Huang that his method was much better than mean imputation method and multiple imputation method. The performance of our study is far superior to that of Huang.

• 한국산학기술학회논문지
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• 제17권9호
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• pp.647-654
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• 2016

방위산업은 경제논리보다 안보논리가 우선시되며 고비용, 장기간의 연구개발이 이루어져왔다. 하지만, 최근 몇 년간 급변하는 기술의 발전과 안보상황을 통해 방위산업에서도 체계개발간에 있어 비용절감과 개발기간 단축의 필요성이 대두되었다. 이에 민수 분야의 부품 모듈화 전략을 방위산업에서 활용하기 위해 OO 사업 LRU(Line Replaceable Unit)들의 모듈화 우선순위를 도출하고자 한다. 프로젝트 평가기법 중 하나인 GRA(Grey Relational Analysis)를 사용하였으며, 문헌연구를 통해 선정된 6개의 평가지표 데이터를 수집하여 OO 사업의 11개 모듈에 대하여 우선순위를 선정하였다. 그 결과, M11(메인보드)과 M8(EMI모듈), M3(싱글보드컴퓨터)의 Grey 관계등급이 0.83, 0.81, 0.80 순으로 도출되었고, 우선순위에 따라 모듈화 하는 것이 비용 절감 및 기간 단축의 효과가 있을 것으로 판단된다. 본 연구는 유사 무기체계 개발이나 향후 성능개량 사업 등을 고려한 LRU 모듈화 설계 시, 모듈화 적용 판단 및 의사결정의 근거가 되는 기초 연구로 활용할 수 있을 것이다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2004년도 Asia Navigation Conference
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• pp.139-145
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• 2004

It is well known that human errors is involved in most of maritime accidents. For the purpose of reducing the influence of human elements on maritime activities, it is necessary to identify the human unsafe acts in those activities. The commonly used methods in identification of human unsafe acts are maritime accident statistics or case analysis. With the statistics data, people could roughly identify what kinds of unsafe acts or human errors have played active role in the accident, however, they often neglected some active unsafe acts while overestimated some mini-unsafe acts because of the inherent shortcoming of the methods. There should be some more accurate approaches for human error identification in maritime accidents. In this paper, the application of technique called grey relational analysis (GRA) into the identification of human unsafe acts is presented. GRA is used to examine the extent of connections between two digits by applying the, methodology of departing and scattering measurement to actual distance measurement. Based on the statistics data of maritime accidents occurred in Chinese waters in last 10years, the relationship between the happening times of maritime accidents and that of unsafe acts are established with GRA. In accordance with the value of grey relational grade, the identified main human unsafe acts involved in maritime accidents are ranked in following orders: improper lookout, improper use of radar and equivalent equipment, error of judgment, act not in time, improper communication, improper shiphandling, use of unsafe speed, violating the rule and ignorance of good seamanship. The result shows that GRA is an effective and practical technique in improving the accuracy of human unsafe acts identification.

• 한국항해항만학회지
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• 제44권4호
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• pp.291-297
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• 2020

최근 항만하역근로자의 인명사고가 지속적으로 발생함에 따라 사고관리에 대한 필요성이 증대되고 있다. 이 연구는 GRA법과 Entropy법을 이용하여 우리나라 항만에 대해 하역근로자의 재해 위험성을 평가하고 위험성이 높은 항만을 결정하기 위한 것이다. 이러한 목적을 달성하기 위해 먼저 우리나라 항만을 11개의 대상항만으로 구분하고, 브레인스토밍법으로 항만하역근로자 재해 위험성 평가를 위한 평가항목을 추출한다. 두번째는 GRA법을 이용하여 대상항만의 회색관계계수를 산정한다. 마지막으로 엔트로피법을 이용하여 산출한 평가항목의 중요도와 GRA법의 회색관계계수를 결합하여 회색관계등급을 산정하여 재해 위험성의 우선순위를 결정한다. 따라서 제안된 모델에서는 항만하역근로자수, 50세 이상 항운노조원수, 총근로시간, 하역장비수, 철재화물량, 총화물량, 사상자수, 사망자수 등 8개의 평가 항목을 추출되었다. 그 결과 부산항의 재해 위험성이 가장 높게 나타났으며 이에 따라 우선적으로 재해위험성을 경감하는 방안이 검토되어야 할 것이다.

• Geomechanics and Engineering
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• 제8권5호
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• pp.631-647
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• 2015

Engineers may encounter unpredictable cavities, sinkholes and karst conduits while tunneling in karst area, and water inrush disaster frequently occurs and endanger the construction safety, resulting in huge casualties and economic loss. Therefore, an optimal classification method based on grey system theory (GST) is established and applied to accurately predict the occurrence probability of water inrush. Considering the weights of evaluation indices, an improved formula is applied to calculate the grey relational grade. Two evaluation indices systems are proposed for risk assessment of water inrush in design stage and construction stage, respectively, and the evaluation indices are quantitatively graded according to four risk grades. To verify the accuracy and feasibility of optimal classification method, comparisons of the evaluation results derived from the aforementioned method and attribute synthetic evaluation system are made. Furthermore, evaluation of engineering practice is carried through with the Xiakou Tunnel as a case study, and the evaluation result is generally in good agreement with the field-observed result. This risk assessment methodology provides a powerful tool with which engineers can systematically evaluate the risk of water inrush in karst tunnels.