• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.877-884
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• 2011

The decision tree is a representative algorithm of data mining and used in many domains such as retail target marketing, fraud detection, data reduction, variable screening, category merging, etc. This method is most useful in classification problems, and to make predictions for a target group after dividing it into several small groups. When we create a model of decision tree with a large number of input variables, we suffer difficulties in exploration and analysis of the model because of complex trees. And we can often find some association exist between input variables by external variables despite of no intrinsic association. In this paper, we study on the removal method of unnecessary input variables using multiple external association rules. And then we apply the removal method to actual data for its efficiencies.

• Korean Management Science Review
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• v.3
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• pp.9-17
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• 1986

본 고는 미국 실무계에서 점점 주목을 받고 있는 '모형을 이용한 마아케팅 의사결정방법'을 소개하고, 이 방법론을 우리나라에 도입하는데 고려해야 할 사항들을 검토하는데 목적이 있다. 특히 미국에서 이러한 방법론이 어떠한 단계를 거쳐 실무계에 수용되게 되었는지 그 과정을 살펴봄으로써 우리나라에서도 예상되는 애로점과 그 해결방안을 고려해보는 것이 중요하리라 생각된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.159-160
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• 2021

From the simulation results, under the collaborative platform of big data based on coordination of the beer industry to mobilize the supply chain operation condition, supply chain direct logistics inventory are in a relatively stable value, and there is no zero inventory or even a serious lack of beer in the stock situations like traditional beer supply chain operation, which avoid the situation of demand information expansion caused by chain inventory levels report because of the serious lack of supply.

• Proceedings of the Korean Statistical Society Conference
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• 2001.11a
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• pp.99-104
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• 2001

본 연구의 주된 목표는 1997년 주가자료를 데이터마이닝 기법인 로지스틱모형, 의사결정트리, 신경망, SVM(support vector machine), 뉴로퍼지모형을 사용하여 분석한 후 우리나라 경제상황을 진단하고 예측하는데 가장 적합한 모형을 찾고 그 모형을 해석하는데 있다. 1997년 주가자료를 훈련자료로 간주하여 그 당시 경제 상황에 따라 적절한 구간으로 나누고 훈련시킨 결과 중요한 변수로는 주가지수, 등락률 10일 이동분산, 10일 이동분산의 변동비로 나타났으며 적절한 기법으로는 의사결정트리, 신경망, SVM임을 알 수 있다. 1997년 이외의 주가자료를 데이터마이닝 기법(신경망, 의사결정트리, SVM)에 적용한 결과, 우리나라 경제상황을 고려해 볼 때 신경망이 가장 정확도가 좋은 기법으로 보여진다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.421-421
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• 2023

하구담수호는 하천의 출구점이 해양과 만나는 곳에 방조제를 건설하고 이를 통해 형성되는 인공호수이다. 출구점에 위치한 지리적 특성은 많은 수자원을 확보할 수 있지만 유역에서 발생하는 모든 유입량 및 오염물질이 유입되어 홍수위험 및 수질악화가 문제점으로 제시되고 있다. 담수호의 관리수위는 배수갑문 운영에 기초가 되는 수위로 용수공급, 홍수위험도를 고려하여 산정한다. 하지만 기후변화로 인해 가뭄, 홍수의 위험성이 커지고 있으며, 이를 고려하여 관리수위의 산정이 필요하다. 로버스트 의사결정 기법은 기후변화의 불확실성 하에서의 정책 결정을 위해 제시된 개념으로 불확실한 미래상황에 대하여 최적이 아닌 여러상황의 준수한 결과를 보이는 방법을 선정해 예상치 못한 상황에도 대비할 수 있는 것을 목적으로 한다. 본 연구에서는 담수호의 관리수위 산정을 위해 로버스트 의사결정 기법을 적용하였다. 관리수위 산정을 위해 미래 기후변화 시나리오는 CanESM5 GCM의 SSP1, 2, 3, 5 시나리오를 이용하였으며 담수호 관리수위는 기존 관리수위를 포함한 5개의 관리수위를 모의하였다. 각 시나리오에 따른 유입량, 호소수위 및 호소수질 변화를 모의하기위해 유역모형 HSPF와 호소모형인 EFDC-WASP 모형을 연계하여 활용하였다. 로버스트 의사결정 기법에 성능인자로는 신뢰도기반 이수, 치수, 수질지표를 활용하였으며, 결정인자으로 후회도를 활용하였다. 후회도는 로버스트의사 결정에서 널리 쓰이는 결정인자로 가장 좋은 성능인자와 그 대안의 성능인자의 차이를 의미한다. 최종적으로 최소의 최대 후회도를 갖는 시나리오를 1순위로 선정하였다.

• 한국노년학
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• v.29 no.2
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• pp.579-591
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• 2009

The purpose of this study is what are the factors affecting decision making for selection of social welfare facility, esp., elderly care facility. The resident's selection for social welfare facility are relatively new terms in the Korean social work. To explore the factors, we employed an empirical study. The collected data was analyzed by using SEM(Structural equation modeling). As the results, the standardized regression coefficient of the hypothesis that the service quality will affect the service satisfaction is equal to 0.555(t=6.723, p<0.01) and the coefficient that the service satisfaction will affect the decision making is equal to 0.766. The absolute fitness of the SEM model shows χ² = 580.151(d.f.=317, p-value=0.000) and RMSEA=0.063, so that the model is absolutely fit. Since CFI=0.915, the model is comparatively fit. Conclusively speaking, the hypothesis that service quality affects to service satisfaction was supported. The hypothesis that service satisfaction affects to decision making was also supported. By accounting for the results of the analysis, this study verified the service quality leading to service satisfaction is an important factor for resident to select a residential facility.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.777-786
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• 2018

This study propose a new method to detect Cochlodinium polykrikoides on satellite images using logistic regression and decision tree. We used spectral profiles(918) extracted from red tide, clear water and turbid water as training data. The 70% of the entire data set was extracted and used for model training, and the classification accuracy of the model was evaluated by using the remaining 30%. As a result of the accuracy evaluation, the logistic regression model showed about 97% classification accuracy, and the decision tree model showed about 86% classification accuracy.

• Journal of Environmental Policy
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• v.7 no.4
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• pp.57-73
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• 2008

This short paper considers the situation where an environmental policy could play a source of an exogenous background risk at an individual's wealth and analyzes the effect of such a background risk on the individual's decision making in a simple chance-improving model. Our analysis shows that risks at initial wealth generated by an environmental policy could be regarded as an exogenous background risk in many cases and that such a risk makes a risk averse person behave more risk aversely in some restricted decision making situations. A policy maker considering an environmental policy which would affect individuals' initial wealth should take into account that the environmental policy could affect an individual's seemingly irrelevant economics decisions via his or her wealth.

• Journal of Energy Engineering
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• v.8 no.4
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• pp.612-620
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• 1999

Environmental impact assessment in the step of the Life Cycle Assessment (LCA) measures relative values of importance or weight of the environmental load characterized in the inventory analysis. The weight measurements are used to evaluate the environmental load or the effect of the industrial product or technology. In this paper the Analytic Network Prpcess (ANP) is introduced to calculate a relative weighting of the environmental impact. The ANP is considered as one of the useful decision making framework and allow for more complex interrelationships, feedback, and inner/outer dependence among the decision level and factors. The weighting from the ANP may applied to obtain the overall evaluation value of environmental load.

• Information Systems Review
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• v.4 no.2
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• pp.223-236
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• 2002

In an agent-based system, each agent has its own decision making capability and competes, cooperates, and communicates each other with an agent interface. Virtual manufacturing has characteristics as a typical application area of agent-based system: complex and time-bound decision making and negotiation. The time-boundness influences the choice of decision making models and design of protocols for internal and external negotiation. In this paper, we provide a case study which suggests a time-bound framework for external and internal negotiation between the agents for virtual manufacturing environment. We illustrate decision making model selection strategy and the system architecture of the agent-based system for the complex and time-bound environment.