• Journal of KIISE:Software and Applications
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• v.26 no.12
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• pp.1507-1518
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• 1999

본 논문은 제어대상체의 지식을 이용하여 적절한 의사결정을 내리거나 또는 지속적으로 변화하는 주변환경에 적응해 나갈 수 있는 지능시스템 설계를 위한 내배엽성 모델링 방법론을 제시한다. 이러한 지능적 내배엽성 시스템은 의사결정 모델, 지식기반의 내부모델, 그리고 내부모델의 구축모델 등을 기반으로 달성될 수 있다. 학습기능의 모델링을 위하여 수정된 귀납추론 방법과 적응형 전문가 시스템 방법이 제안되었다. 제시된 방법론은 지능적 학습 및 의사결정 기능을 갖춘 지능적 카드경기자 모델링의 예를 통하여 그 가능성을 검증하였다. Abstract This paper presents an endomorphic modeling methodology for designing intelligent systems that can determine by itself using its knowledge of the world and adapt itself to continuously changing circumstances. We have developed such an intelligent endomorphic system by integrating the decision making component and knowledge based internal model with internal model construction model. Learning capabilities are established using the modified inductive reasoning and adaptive expert system techniques we developed. Proposed methodology has been successfully applied to a design of intelligent card game players capable of supporting the intelligent learning and decision making.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.406-408
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• 2012

본 논문의 연구목적은 Grey Relational Analysis와 Interval Weight을 이용하여 다수의 업체가 있는 커뮤니티 환경에서 최적의 업체를 선정하기 위한 방법론을 제공하는 것이다. 일반적으로 하나의 의사를 결정하기 위해서는 대안과 이와 관련된 기준과 같은 다양한 변수들이 고려되어야 한다. 커뮤니티 내의 다수의 업체 평가를 위해 평가기준에 대한 가중치를 도출하고 최종적으로 평가결과를 도출하기 위해 Grey Relational Analysis와 Interval Weight에 기반을 둔 다중의사결정 방법을 제안하였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.159-174
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• 2023

In this paper, we proposed a methodology to effectively determine the selection and prioritization of new business and innovation projects using AI technology. AI technology is a technology that can upgrade the business of companies in various industries and increase the added value of the entire industry. However, there are various constraints and difficulties in the decision-making process of selecting and implementing AI projects in the enterprise. In this paper, we propose a new methodology for prioritizing AI projects using Morphology, AHP, and TOPSIS. The proposed methodology helps prioritize AI projects by simultaneously considering the technical feasibility of AI technology and real-world user requirements. In this study, we applied the proposal methodology to a real enterprise that wanted to prioritize multiple AI projects in the HR field and evaluated the results. The results confirm the practical applicability of the methodology and suggest ways to use it to help companies make decisions about AI projects. The significance of the methodology proposed in this study is that it is a framework for prioritizing multiple AI projects considered by a company in the most reasonable way by considering both business and technical factors at the same time.

• Journal of Hospice and Palliative Care
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• v.15 no.1
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• pp.18-29
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• 2012

Purpose: We analyzed how clinical nurses in Korea perceive terminally ill patients' medical decision-making. Methods: The Q-methodology which analyzes the subjectivity of each item was used. We selected 34 Q-statements among those provided by each of 37 subjects and grouped them into a shape of normal distribution using a 9 point scale. The collected data were analyzed using a QUANL PC program. Results: Four types of perception toward medical decision-making were identified. Type I focuses on patient participation, and Type II emphasizes the role of health professionals. Type III is characterized by an open-minded culture toward death, and Type IV values the role of family members. Conclusion: The results of this study indicate the need for development of a multi-disciplinary curriculum medical decision-making and death for medical and nursing students.

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1196-1203
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• 2004

Autonomous agents need considerable computational resources to perform rational decision-making. The complexity of decision-making becomes prohibitive when large number of agents are present and when decisions have to be made under time pressure. One of approaches in time-critical domains is to respond to an observed condition with a predefined action. Although such a system may be able to react very quickly to environmental conditions, predefined plans are of less value if a situation changes and re-planning is needed. In this paper we investigate strategies intended to tame the computational burden by using off-line computation in conjunction with on-line reasoning. We use performance profiles computed off-line and the notion of urgency (i.e., the value of time) computed on-line to choose the amount of information to be included during on-line deliberation. This method can adjust to various levels of real-time demands, but incurs some overhead associated with iterative deepening. We test our framework with experiments in a simulated anti-air defense domain. The experiments show that the off-line performance profiles and the on-line computation of urgency are effective in time-critical situations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.5
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• pp.455-463
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• 2020

Road facilities with a service life of more than 30 years are expected to triple in the next ten years. The seismic performance of road facilities should be reviewed with consideration of the "Common Application of Seismic Design Standards" issued by Korea's Ministry of Public Administration and Security in 2017. These standards should be applied to all existing road facilities, including retrofitted or seismic-designed facilities, for evaluating seismic performance. In order to manage seismic performance for a large number of facilities, decision-support technology that can provide economic and reliable results is needed. However, the indices method currently used in Korea is a deterministic method, and the seismic performance of individual facilities is evaluated based on qualitative indices so that only retrofitting among road facilities is prioritized. In turn, with the indices method, it is difficult to support decisions other than the decision to prioritize retrofitting. Therefore, it is necessary to use the seismic risk assessment method to overcome such shortcomings and provide useful information such as direct loss, indirect socio-economic loss, and benefit of the investment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10C
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• pp.921-932
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• 2002

In this research, we seek to identify an effective operation management strategy of telecommunication systems. In order to develop operation management strategies, we implement a quantitative techno-economic analysis. We evaluate related issues and factors, and apply the developed method to PSTN switching systems. In the proposed techno-economic modeling, we apply a well-known factor analysis technique-analytic hierarchy process-to evaluate PSTN operation management strategies. Then, we implement a decision analysis methodology to evaluate the cost of proposed strategies. We evaluate the proposed methodology by using available real data of the PSTN system. The primary impact of this research will be realized in helping PSTN operator select the best operation management strategy of PSTN system.

• Korean Journal of Construction Engineering and Management
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• v.17 no.2
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• pp.70-79
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• 2016

The current remodeling cost estimation process is not only dependent on the historical data of new building construction, but it also has a poor linkage with risk-based estimation approach. As such, there is a high risk of falling short of initial budget. To overcome this, a risk-based estimation approach is necessary by providing a probabilistic estimation in consideration of the potential risk factors in conducting the remodeling projects. In addition, the decision-making process should be linked with the risk-based estimation results in stead of intuitive and/or experience-based estimation. This study provides a probabilistic estimation process for residential remodeling projects by developing a detailed methodology in which a step-by-step approach can be achieved. The new proposed estimation approach can help in decision-making for remodeling projects in terms of whether to proceed or not, by effectively reflecting the potential risk factors in the early stage of the project. In addition, the study can enhance the reliability of the estimation results by developing a sustainable estimation process model where a risk-based evaluation can be accomplished by setting up the cost-risk relationship database structure.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.381-391
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• 2000

우리는 어떠한 문제이든지 인간들이 구성하고 있는 모든 조직 및 정책전략에 있어서 크고 작은 의사결정들에 의해서 움직여진다고 할 수 있다. 불확실한 상황에서의 의사결정이 필요한 경우는 무수히 많지만, 분야별로 분류해서 의사결정을 지원한다 해도 정확한 결과를 예측하고 시행할 수 있는 표준안은 완벽하게 준비되 있다고 말할 수 없다. 단지 완벽에 가까운 의사결정방법론을 제시하고, 의사결정을 할 뿐이다. 본 연구논문에서는 정보기술 관련 벤처 사업의 전략적 대안들을 어떻게 하면 가장 최적으로 추출하고, 분석해서 그 대안들을 위해 어떻게 준비할 것인가에 대한 지원프로세스를 중요 관점으로 해서 불확실한 상황에서의 직면한 문제에 대한 해결책을 제시하고자 한다.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.69-73
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• 2002

본 발표에서는 베이지안이 생각하는 확률의 개념을 상호교환성(exchangeability)의 가정아래 어떻게 확장되어 해석되는지를 소개하고, 빈도학자들의 접근방법과 비교함으로서 베이지안에서 생각하는 확률이 어떠한 특징을 가지고 있는지를 설명하고자 하였다. 또한 Efron에 의하여 지적된 베이지안의 네 가지 문제점에 대하여 논의하고 특별히 과학적 객관성(scientific objectivism)의 한계점과 이러한 한계점을 베이지안에서 어떻게 해결하고 있는지에 대하여 논의하였다. 일반적으로 과학적 객관성에 대한 한계점은 빈도학자들의 방법론에서도 존재하게 된다. 즉, 연구자가 가설을 설정하고 이에 맞는 실험설계를 하고 유의수준을 설정하고 p값을 이용하여 의사결정을 내리는 모든 단계에서 연구자의 주관성이 들어갈 수밖에 없게 된다는 것이다. 베이지안 방법론에서는 이러한 비객관적인 체계를 인정하고 파악하여 사전확률(prior)에 포함시킴으로서 이를 객관적인 자료인 가능도함수(likelihood function)와 혼합하여 추론이나 의사결정을 진행하게 된다. 마지막으로 베이지안 학자들의 최근 객관적인 사전확률에 대한 다양한 형태의 연구를 소개하는 것으로 발표를 마무리하고자 한다.