• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.17-18
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• 2008

다변량 퍼지 의사결정트리(이하 MFDT)는 학습 모델의 구조가 간소하고 분류율이 높다는 장점 때문에 일반 퍼지 의사결정트리를 대신해 손동작 인식 시스템의 분류기로 사용되었다. 다양한 사용자의 손동작 특성을 분류하기 위해 여러 개의 인식 모델을 만들고 새로운 사용자에게 가장 적합한 모델을 선택해 사용하는 모델 선택 기법도 손동작 인식에 적용되었다. 모델 선택 과정을 통해 선택된 모델은 기존 모델 중에서 새로운 사용자의 특성에 가장 가깝지만 해당 사용자에 최적화된 모델이라고는 할 수 없다. 이 논문에서는 MFDT 모델을 새로 입력된 데이터를 이용해 적응시키는 방법을 설명하고 실험 결과를 통해 적응 성능을 검증한다.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.56-68
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• 2019

An optimal selection of form-work is very important in the construction project in terms of construction cost and duration management. Also, it substantially affects the quality of the structure and the finishing work. However, in South Korea, the decision making on the selection of form-work has been based on the experience and intuition of construction practitioners not on the objective data or rational decision-making system. In order to solve the problem, several types of research on the selection of form-work has been processed. However, they did not consider the construction site condition, which is one of the most important factors for the selection of form-work. Thus, the objective of this study is developing the objective decision supporting system considering the site condition. This study provides the quantitative decision support model for optimal form-work based on construction site type. It is expected that the decision support model will help the practitioners decide optimal form-work based on the objective data. It will ameliorate the existing decision making process using experience and intuition. In addition, because the model considers site-conditions, it will provide more accurate and appropriate decision on the selection of an optimal form-work.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.1
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• pp.95-132
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• 1993

사람들은 누구나 시간과 장소를 구분하지 아니하고 의사결정을 내려야 할 상황에 처하게 된다. 특히 조종사의 경우에는 의사결정을 하여야 할 상황이 보다 시간적으로 제한되어 있고, 또 다른 어떤 경우보다 그 내용이 더 복잡하다는 특성을 가지고 있다. 특히 항공기 운항중 발생하는 조종사의 의사결정은 그 방법에 따라 결과는 아주 다른 양상으로 나타나게 되는데 합리적인 의사결정이 이루어졌다면 그 결과는 안전성과 경제성이 동시에 실현되지만 합리적으로 의사결정이 이루어지지 못하였다면 항공기 사고라는 최악의 사태로 이어지게 된다. 그러나 현실적으로는 조종사들이 사회, 문화적 특성과 개인적인 태도 및 성격에 따라 집단내 구성원들의 의사를 종합하여 의사결정을 얻지 못하고 경우에 따라서는 기장 개인의 능력에 따라 의사결정이 이루어지고 있는 실정이다. 이러한 점에 착안하여 본 연구에서는 조종사의 합리적인 의사결정에 영향을 미치는 요인들을 분야별로 내용을 분석하고 의사결정의 이론적 고찰을 통해 조종사의 합리적인 의사결정을 위한 방안을 제시하고자 하였다. 특히 조종사 자격 관리 및 능력개발 프로그램시 태도 변화를 위한 교육이 우선해야 한다는 것과 그리고 미국의 여러 기관에서 연구 수행한 결과를 인용하여 조종사의 태도분석방법을 소개함으로써 조종사 자신들이 직접 지니고 있는 위험한 태도 요소를 자각할 수 있도록 하였으며 이에 대한 행동상 지켜야 할 원칙을 제시하여 자신이 의사결정을 해야하는 경우 적용할 수 있도록 하였다. 앞으로 이와 관련하는 지속적인 연구를 함으로서 합리적인 의사결정을 위한 요인들의 상관관계를 분석하고 항공기 운항분야중에서 부분적이나마 정형적인 의사결정모델이 개발될 때 항공기 안전운항에 크게 기여할 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.539-541
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• 2019

오프라인 소비자의 의사결정은 크게 라이프스타일, 동기, 개성, 학습 등 개인적인 영향요인과 문화, 기후, 가족 등 기타 상황적 요인을 포함하는 환경적 영향요인에 의해 결정된다. 이러한 요인들을 입력 값으로 하는 다양한 딥러닝 모델을 이용한 소비예측 연구들이 진행되고 있다. 딥러닝을 이용한 예측모델을 사용하기 위해서는 먼저 요인들이 의사를 결정하는데 있어 얼마나 상관관계가 있는지 파악하는 작업이 중요하다. 본 논문에서는 이를 위해 다양한 상관관계 분석모델을 이용해 소비 의사결정 요소 중 기후, 문화와 같은 상황적 요인과 소비와의 상관관계를 도출하고, 기후, 문화를 대변하는 미세먼지 데이터와, SNS 버즈량 데이터와 소비데이터를 학습하는 소비예측 LSTM모델을 제안하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.135-147
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• 2009

The world has witnessed the dramatic expansion of international construction markets during the last decades, particularly around the developing economies and energy resource-rich countries. However, despite the booming markets, the risks of emerging regions have also increased under the rapidly changing environments confronting the global contractors. Most of all, success in overseas business mainly depends on selecting the right market to enter. Accordingly, the right market selection requires global firms to carefully carry out the scientific market entry decision by evaluating country risks, market prospects, firm's capability, level of competition, and among others. This study aims at developing a market entry model by the use of real option analysis (ROA) and scenario planning, which addresses the corporate strategic flexibility against the uncertainties encompassing the overseas construction markets. Based on the suggested approach, global contractors are expected to make a better decision rather than a typically static approach in pursuing, postponing, or abandoning a prospective market to their capacity with a concurrent consideration of uncertainties as well as its option value.

• Journal of the Korea Institute of Building Construction
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• v.17 no.3
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• pp.295-303
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• 2017

Over the past 7 years, the number of victims of construction disasters has been gradually increasing. Compared with projects in other industries, construction projects are highly exposed to safety risks. For this reason, the research methods of predicting and managing the risk of construction disasters are urgently needed that can be applied to a construction site. This study aims to propose a prediction model for a construction disaster using the decision tree technique. The developed the model is reviewed the applicability by evaluating its accuracy based on disaster data. The top three of the prediction values obtained from the proposed model were enumerated, and then the cumulative accuracy were also calculated. The prediction accuracy was 40 percent for the first value, but the cumulative accuracy was 80 percent. Thus, as more disaster data was accumulated, the cumulative accuracy appeared to be higher. If utilized in construction sites, the model proposed in this study would contribute to a reduction in the rate of construction disasters.

• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.84-94
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• 2020

Modular architecture is very important not only in the design phase but also in the construction planning phase because it affects construction methods and module sizes depending on transport equipment. There are economic risks as well as quality, as there may be defects such as internal interiors or elimination of deadlines during transportation, and structural torsion caused by rainfall and shock. However, there is a lack of objective criteria or data to refer to in determining transport equipment that has a material effect on transport. Accordingly, there is no decision model to determine the optimum transportation equipment for each construction site. Therefore, it is necessary to develop a decision support model that can be compared to the review of transport equipment selection factors. The purpose of this study is to propose the transport equipment impact factors and decision support models for systematic review and objective decision making of each construction plan in the construction of small and medium-sized modulators. The decision model proposed in this study can be used as basic data for transport studies, ensuring objectivity and transparency in the equipment selection process.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.121-123
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• 2004

의사 결정 지원 시스템에 대한 연구는 오래 전부터 진행되어 왔다. 의사 결정 지원 시스템은 많은 분야에 적용될 수 있고, 적용되는 환경에 따라서 다양한 특징을 가진다. 본 논문에서는 e-marketplace에서 공급자 선정을 위한 의사 결정 지원 시스템 구현을 위한 환경 및 시스템의 특징에 대해서 알아보고, e-marketplace에서의 공급자 선정을 위한 정색 기반 모델을 제시하고, 이를 구현함으로써 의사 결정 지원시스템이 e-marketplace에서 어떻게 구현될 수 있는지를 보인다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.12
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• pp.3045-3051
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• 1997

Generally, multi-criteria decisions are made by group of people because of their complexity. In the existing fuzzy aggregation method, the operators using minimum, maximum and average are used to aggregate the viewpoints of many staffs. These methods have problems in that they do not reflect the decision situation in the decision process. In order to solve these problems we propose a new fuzzy multi-criteria decision support systems model that aids the decision maker to aggregate the viewpoints of many staffs according to the decision situation. Moreover, we design the algorithms which can be used in the fuzzy multi-criteria decision support systems and develop its prototying system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.145-152
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• 2004

Many construction companies have developed many kinds of information system to integrate the information created in the phase of planning, design, procurement, construction, and maintenance of construction project. However, the previous researches for the state of applying information technologies and the efforts of the analysis of the present information system launched in domestic construction industry is very rare. There also has been short of research on the construction decision-making support theory in construction business and industry. Hence this paper would contribute in identifying the state of information technologies and the theory of decision-making support of the information system in general construction company. and suggest the characteristic model on the information system for the construction decision-making support. The model consists of the two dimensions; (1) organizational hierarchy (2) data analyzing technology. This research, especially, can be expected to initiate the discussion on framework for understanding the construction decision-making support system in construction industry. The model is nut a practical methodology, but a window that offers a new perspective un sources of information system in each construction company, and thus can provide a clue of the useful guide to construction information system development.