• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.535-545
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• 2022

본 연구의 목적은 도로에서 발생하는 다양한 문제점을 심각도에 따라 구분하고, 이미지 객체검출을 통해 도로관리자의 우선처리 판단을 위한 의사결정방법을 제시하는 것이다. 이를 위해 도로에서 발생하는 문제점들을 도로불편신고 플랫폼인 척척앱의 신고내용을 이용하여 구분하였고, 각 문제점들의 심각도 가중치를 도로위험도 분석에서 사용되는 EPDO를 이용하여 산출하였다. 정립된 방법론의 현장 적용성 검토를 위해 실제 척척앱에서 추출된 이미지를 딥러닝을 이용하여 기계학습을 수행하고, 실제 이미지 테스트를 통해 결과를 검증하였다. 심각도가 높은 로드킬과 차로 장애물, 노면균열 등의 검출률은 90% 이상으로 나타나 실제 현장에 적용이 가능한 것으로 판단된다. 본 연구는 기존의 단순 민원접수 및 해결에서 벗어나 실제 도로현장에서 접수되는 문제점을 심각도로 구분함으로써 실제 민원 처리의 우선순위 선정에 큰 도움이 될 것으로 기대된다.

• 한국농촌건축학회논문집
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• 제13권2호
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• pp.23-30
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• 2011

Even though the existing urban residential district was obsolete and out of date in respects of physical environment, it is maintaining the function of dwelling. It ends up being regenerated as a viable urban residential district when improved the dwelling environment. Therefore, the government has been planning for the residential improvement projects for those areas applying for innovative ideas. But the government programs have often been troubled with people in the process of executing the projects or making a plan. In this respect, two parties couldn't communicate freely about the problem of those areas. So, the problematic issues of the areas should be shared with local residents at the beginning of decision making and the process of workshop participating local residents will be needed for understanding the standpoint of the residents. This study is to explore the potential of residents participating workshop to figure out current problems of the urban residential district in the process of executing the residential improvement project of Nakyang residence area in Sangju city. Upon investigation residents participating workshop is very practical in making a plan, but needs positive participation by resident and a decision making system dealing with the information shared and the understanding gained by participants.

• 해양환경안전학회지
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• 제20권6호
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• pp.692-703
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• 2014

본 연구의 목적은 해양경찰의 현장지휘체계에 대한 문제점과 원인을 밝히는 것이다. 해양재난 발생현장에서 현장지휘관이 합리적인 의사결정을 할 것이라는 기대가능성에 대해 매우 부정적인 결론을 도출하였고, 여러 관점의 문제점을 연구하였다. 해양사고 대응 조직체계와 같은 구조적인 측면뿐만 아니라 의사결정과 같은 비구조적인 측면을 이론과 분석을 통해 비효율적인 조직체계, 합리적인 의사결정의 실패, 현장과의 소통 부족과 같은 문제점을 밝혀냈으며, 선진형 현장 지휘체계의 모색, 효율적인 조직, 전문인력의 양성, 개방적인 조직문화의 조성과 같은 대안들을 제시하였다.

• 정보화정책
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• 제26권3호
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• pp.3-35
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• 2019

4차 산업혁명시대에 지능정보기술의 발전에 따라 인공지능의 다양한 역할이 주목을 받고 있다. 구글의 알파고를 계기로 인공지능은 더 이상 공상의 기술이 아닌 실존하는 기술이라는 점에서 사회전역에 파급효과를 가져올 것으로 예상되고 있다. 이에 따라 본 연구에서는 공공부문에서 인공지능을 활용한 정책결정의 가능성과 쟁점에 대한 탐색적 논의를 진행하였다. 이에 따른 연구목적은 세 가지 측면으로 구분되며, 첫째, 공공부문에서 인공지능이 정책결정까지 이어질 수 있는지에 대한 검토이다. 둘째, 인공지능의 정책결정과정이 기존 정책결정과의 어떠한 차이를 가지는가이다. 셋째, 인공지능이 정책결정에 도입될 경우에 나오게 될 쟁점을 다루었다. 이러한 인공지능에 의한 정책결정이 기존의 정채결정과 구별되는 점은 많은 정보와 대안에 기반한 합리적 의사결정, 투명성 및 신뢰성의 제고, 정책이슈에 대한 객관적인 시각, 신속한 의사결정 등이다. 하지만 인공지능의 정책의사결정시 야기되는 쟁점 역시 존재 한다. 첫째는 인공지능의 우월성, 둘째 윤리성 논란, 셋째 책임성, 넷째 기존 민주주의의 변화, 다섯째 공공부문 인력의 대체 논쟁, 여섯째 인공지능에 필요한 데이터 활용의 문제점 등이다. 공공부문 정책의사결정에서 인공지능의 도입은 향후 실현될 것이기 때문에, 사회적 충격을 최소화하기 위해 그에 따른 순기능과 역기능에 대한 융합적인 접근이 필요하다.

• 대한안전경영과학회지
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• 제6권4호
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• pp.107-122
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• 2004

This study aims to examine the usefulness on the Evaluation Process for the Feasibility & Priority of A Certain Public Projects. and the Methodology used AHP(Analytic Hierarchy Process) which used pairwise comparisons of the alternatives and criteria for solving discrete alternative multicriteria decision problems. In this paper, we present a similar phenomenon, rank reversal problem, when we apply the AHP to group decision making process. The problem is identified by an example problem in that the previous rank order of Public Projects choices. we also present three different methods to prevent the undesirable characteristic of the original AHP in appling to Decision Making Process.

• 농촌계획
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• 제4권2호
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• pp.103-116
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• 1998

South Korean self support rate for the grain product is less than 25oyo, and depends on the imported product for the national food supply. Therefore, there is imminent need for development of agricultural decision support system using GIS which provides various useful informations for a more accurate agricultural policy making. Agricultural decision making processes are complex due to complicated current international political situations, and the erratic weather condition like that Elnino, flood and drought etc. Hence, global scale GIS and analytical applications has implemented for solving the agricultural problems above mentioned in this study. As the results, the executable decision process with GIS developed well adopted for the rice cultivable area estimation in the world.

• 한국농촌계획학회:학술대회논문집
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• 한국농촌계획학회 1998년도 임시총회 및 추계 학술논문발표회
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• pp.5-8
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• 1998

South korean self support rate fer the grain product is less than 25%, and depends on the imported product for the national food supply. Therefore, there is imminent need for development of agricultural decision support system using GIS which provides various useful informations for a more accurate agricultural policy making. Agricultural decision making processes are complex due to complicated current international political situations, and the erratic weather condition like that Elnino, flood and drought eft. Hence, global scale GIS and analytical applications has implemented for solving the agricultural problems above mentioned in this study. As the results, the executable decision process with GIS developed well adopted for the rice cultivable area estimation in the world.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제11권2호
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• pp.71-76
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• 2011

The problem of decision making under imprecise environments are widely spread in real life decision situations. We present a method of object recognition from imprecise multi observer data, which extends the work of Roy and Maji [J Compu. Appl. Math. 203(2007) 412-418] to generalized intuitionistic fuzzy soft set theory. The method involves the construction of a comparison table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.

• 한국경영과학회지
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• 제30권1호
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• pp.75-94
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• 2005

Research in the decision sciences has continued to develop a variety of mathematical models as well as software tools supporting corporate decision-making. Yet. in spite of their potential usefulness, the models are little used in real-world decision making since the model solution processes are too complex for ordinary users to get accustomed. This paper proposes an intelligent and flexible model-solver integration framework that enables the user to solve decision problems using multiple models and solvers without having precise knowledge of the model-solution processes. Specifically, for intuitive model-solution, the framework enables a decision support system to suggest the compatible solvers of a model autonomously without direct user intervention and to solve the model by matching the model and solver parameters intelligently without any serious conflicts. Thus, the framework would improve the productivity of institutional model solving tasks by relieving the user from the burden of leaning model and solver semantics requiring considerable time and efforts.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
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• pp.277-280
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• 2006

Most real world design evaluation and risk-based decision support combine quantitative and qualitative (linguistic) variables. Decision-making based on conventional mathematics that combines qualitative and quantitative concepts always exhibit difficulty in modelling actual problems. The successful selection process for choosing a design/procurement proposal is based on a high degree of technical integrity, safety levels and low costs in construction, corrective measures, maintenance, operation, inspection and preventive measures. However, the objectives of maximising the degree of technical performance, maximising the safety levels and minimising the costs incurred are usually in conflict, and the evaluation of the technical performance, safety and costs is always associated with uncertainties, especially for a novel system at the initial concept design stage. In this paper, a design-decision support framework using a composite structure methodology grounded in approximate reasoning approach and evidential reasoning method is suggested for design evaluation of machinery space of a ship engine room at the initial stages. It is a Multiple Attribute Decision-Making (MADM) or Multiple Criteria Decision Making (MCDM) framework, which provides a juxtaposition of cost, safety and technical performance of a system during evaluation to assist decision makers in selecting the winning design/procurement proposal that best satisfies the requirement in hand. An illustrative example is used to demonstrate the application of the proposed framework.