• Journal of Electrical Engineering and Technology
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• 제11권4호
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• pp.915-920
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• 2016

A power system designer may have difficulties in choosing a suitable multiple-input converter topology for a specific target application because each multiple-input converter topology presented in the literature has its own advantages and disadvantages. In this perspective, this paper presents a systematic topology selection method for multiple-input converters with three comparison criteria including cost-saving effect, modularity potential and flexibility. Based on these criteria, this paper proposes a strategic flow chart example for choosing a proper multiple-input converter topology. This flow chart will provide a powerful selection tool to a power system designer when he or she chooses a specific multiple-input converter for a given application.

• 한국국방경영분석학회지
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• 제26권1호
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• pp.100-114
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• 2000

This paper demonstrates the application of a Quality Function Deployment (QFD) and Zero-One Goal Programming model for selecting interdependent information system project selection, there are a few research for interdependent IS project selection. Effective project evaluation necessities incorporating the many conflicting objectives of decision maker(s) into decision models. Among the many proposed methodologies of multi-criteria decision making (MCDM), Goal Programming (GP) is the most popular and widely used. The model departs from an earlier GP formulation of the problem that suggested QFD method for selection of priorities among the considered attributes or criteria. The application of the proposed methodology illustrated through an example.

• 대한의용생체공학회:의공학회지
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• 제40권1호
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• pp.20-31
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• 2019

Medical device performance management is an activity that allows a device to be safely used and maintained even after it is put on the market. The purpose of this study is to provide procedures and criteria for selection of medical device items that should manage the safety and performance among medical devices in hospital. Investigate the performance management status of medical devices in hospitals and identify the performance management status by domestic and advanced regulatory agencies. Provides selection procedures and test methods for medical devices subject to performance management in hospitals based on medical device risk management and reliability. In addition, a case study on drug infusion pumps was conducted.

• Architectural research
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• 제23권4호
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• pp.67-73
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• 2021

An efficient demolition process requires the optimum method selection considering stability, economic feasibility, environment, and workability. In reality the construction cost and period are priority concerns, and safe construction methods are neglected. In addition, the choosing demolition method is often determined subjectively by experienced field engineers. This research paper presents a multi-criteria decision-making method using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to select the optimum demolition method. Three experienced demolition engineers' opinions were used to develop the TOPSIS model. The case study showed that the preferences of ten attribute measurements for demolition method selection. Authors suggested the most preferable demolition method for the case study project.

• Communications for Statistical Applications and Methods
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• 제29권6호
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• pp.629-640
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• 2022

Variable selection is one of the most crucial tasks in supervised learning, such as regression and classification. The best subset selection is straightforward and optimal but not practically applicable unless the number of predictors is small. In this article, we propose directly solving the best subset selection via the genetic algorithm (GA), a popular stochastic optimization algorithm based on the principle of Darwinian evolution. To further improve the variable selection performance, we propose to run multiple GA to solve the best subset selection and then synthesize the results, which we call ensemble GA (EGA). The EGA significantly improves variable selection performance. In addition, the proposed method is essentially the best subset selection and hence applicable to a variety of models with different selection criteria. We compare the proposed EGA to existing variable selection methods under various models, including linear regression, Poisson regression, and Cox regression for survival data. Both simulation and real data analysis demonstrate the promising performance of the proposed method.

• 복식문화연구
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• 제20권6호
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• pp.895-911
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• 2012

The purpose of this study was to examine consumers' perceptions of eco-friendly children's-wear and their impact on the selection criteria for children's-wear and stores. A descriptive survey method using a self-administered questionnaire was employed. The sample consisted of mothers with children under the age of 13 residing in Seoul and the Gyeonggi area. Data were collected from September 2011 to October, 2011. The collected data were analyzed to find the differences between purchasers and non-purchasers of eco-friendly children's-wear in terms of their perceptions of eco-friendly children's-wear, as well as the influence of these perceptions on the consideration degree of criteria for the selection of children's wear and store. The results indicate that perceptions of eco-friendly children's-wear implied five key factors related to quality reliability, expected value, style, degree of recognition, and dissatisfaction with design and price. The results also revealed some differences between the group purchasing eco-friendly children's-wear and the group not purchasing eco-friendly children's-wear. These different perceptions were related to the aspects of quality reliability, expected value, style, degree of recognition. In general, the non-purchasing group displayed a lower mean score than the purchasing group. Both groups showed a low interest in aesthetic appreciation and the degree of recognition factor. The results showed that consumer's perceptions of eco-friendly children's-wear had an influence on the criteria for the selection of children's-wear and store type in both groups. Considering the findings of the study, it is clear that both purchasers and non-purchasers of eco-friendly children's-wear showed differences in their perceptions and purchasing behavior. Therefore, marketing strategies to appeal to the non-purchasing group should be differentiated from strategies used to ensure the loyalty of the purchasing group.

• 지능정보연구
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• 제17권1호
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• pp.37-52
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• 2011

공급사슬관리(SCM)는 공급사슬의 가치를 높이고 변화하는 환경에 더 민첩하게 적응할 수 있는 전략적인 접근방식이다. 공급사슬 파트너 간에 중단 없는 파트너쉽과 가치 창출을 위해서는 정보와 지식의 공유 및 적절한 파트너 선정기준이 적용되어야 한다. 따라서 파트너 선정 기준은 제품의 품질과 신뢰도를 유지하기 위해서 아주 중요하다. 제품의 각 부품은 적절한 공급 파트너를 통해서 공급된다. 파트너를 선정하는 기준은 기술적 능력, 품질, 가격, 지속성 등 여러 요인이 있다. 실제로 파트너 선정기준은 구성부품의 특성에 따라서 변화할 수 있다. 그 부품이 핵심 구성품이면 품질이 가격에 비해서 최고 우선순위가 된다. 표준부품은 낮은 가격이 우선순위를 가진다. 간혹 긴급 주문과 같은 예기치 못한 상황이 발생하면 우선순위가 변하게 된다. 따라서 SCM 파트너 선정 기준은 구성부품의 특성과 상황에 따라서 동적으로 결정 되어진다. 이 연구의 목적은 상황과 부품의 특성에 따라서 공급사슬 파트너쉽을 위한 온톨로지 모델을 제시하고자 하는 것이다. 변수의 불확실성은 퍼지이론을 이용하여 나타내고자 하였다. 부품별 우선순위와 상황변수는 웹 온톨로지 언어(OWL : Web Ontology Language)를 이용하여 모델링 하였다. 부품의 우선순위는 퍼지로직을 이용한 퍼지소속함수로 변환 되어진다. 온톨로지의 추론을 위해서 SWRL(Semantic Web Rule Language)을 이용하였다. 제안된 모델의 구현을 위해서 자동차 구성품인 스타트모터 부품을 대상으로 온톨로지를 구축하고 구성 부품별 우선순위에 따른 공급 파트너를 선정하는 과정을 제시하였다.

• 한국융합학회논문지
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• 제10권11호
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• pp.149-159
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• 2019

식스시그마는 시장과 고객의 패러다임과 트렌드의 변화에 맞추어 모든 사업의 프로세스와 전략을 개선하는 경영 혁신운동이다. 식스시그마 프로젝트 선정에 관한 기존의 연구는 있으나 불완전한 정보환경 하에서 프로젝트 선정을 위한 연구는 거의 없다. 본 연구의 목적은 불완전한 정보 하에서 올바른 프로젝트 선정을 위해 통합 MCDM 기법을 적용 방법을 제안하는 것이다. 식스시그마 프로젝트 선정을 위해 4단계인 1) 평가기준 간 가중치 결정 2) 팀 멤버 간 전문역량의 상대적 중요도 결정 3) 프로젝트 선호도 척도 산정 4) 최종 프로젝트 우선순위 결정 등을 위해 그룹 Fuzzy AHP, 불완전한 정보환경 하에서의 비퍼지화 TrFN 변환, GRA의 통합기법을 제안하였다. 본 연구에서 제안한 식스시그마 프로젝트 선정단계의 적용방안에 대한 이해를 돕기 위해 수치예가 제시되었다.

• 한국경영과학회지
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• 제10권1호
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• pp.79-83
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• 1985

This purpose of this study is to suggest a tentative model for project selection of information system. In constructing a mathematical model, quantification of decision criteria is tried to lessen difficulties of measuring benefits of information system project. Suggested model enables us to select projects in the context of portfolio and information system policy.

• Journal of the Korean Statistical Society
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• 제25권2호
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• pp.195-203
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• 1996

A bootstrap method is used to correct the apparent downward bias of a naive plug-in bootstrap model selection criterion, which is shown to enjoy a high degree of accuracy. Comparison of bootstrap method with the asymptotic method is made through an illustrative example.