• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.248-253
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• 2009

In this paper, we have studied about the ubiquitous service map for the effective u-City service providing. Through the research, we are going to propose the fact that it can be implemented ubiquitous services according to city characteristics. The proposed research could make it possible to be an intelligent decision making system by city characteristics. Also, nation, local government, companies can be assigned their appropriate load according to the proposed system for the effective u-City services.

• Science of Emotion and Sensibility
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• v.3 no.2
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• pp.41-55
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• 2000

경영활동에 있어서 직관력은 잘 알려진 인지능력이지만 효과적인 의사결정지원시스템의 개발 목적으로는 거의 고려되고 있지 않다. 본 연구는 의사결정자의 인지 유형에 따른 시계열 예측의 정확성과 뇌파의 차이를 통계적 검증, 인공신경망, 데이터 마이닝의 세 가지 접근방법으로 탐색하여 그 결과를 비교 분석함으로써 시계열 직관 예측에 영향을 주는 의사결정자의 인지적/생리적 특성을 도출함으로써 효과적인 의사결정환경을 조성하는데 공헌하고자 하였다. 실험결과 통계적 분석에서는 아무런 유의성을 찾을 수 없었으나, 인공신경망 분석에서는 인지유형과 감성유형이 모두 시계열 예측 정확도와 상관성이 있는 것으로 나타났으며, 데이터 마이닝 분석에서는 보다 의미 있는 상관관계를 찾아낼 수 있었다.

• Journal of the Korea Computer Industry Society
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• v.9 no.1
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• pp.1-10
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• 2008

This treatise wishes to proposal of most suitable about happened patient's disease when a doctor achieves medical treatment action about patient and decision-making methodology that decide treatment does presentation low class informer. That is, when a doctor treats patient, case that do medical examination and treatment to experience about disease at medical examination and treatment process is general. In case is like this, unexpected treatment side effect can be happened doing not consider patient's special quality or conditions. Use a medical decision-making tool to minimize these problem. Treatise that see therefore investigated validity about if arrange medical decision-making system concept, and analyze several tools(decision-making tools) that help in decision-making, and can help in medical examination and treatment decision-making of most suitable.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.669-673
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• 1996

최근까지의 그룹의사결정지원시스템에 관련된 연구와 실제 적용을 통한 실험들에 의하면 각 국가들은 나름대로의 특유한 민족정신과 문화를 가지고 있으며 이러한 문화의 차이로 인해서 서구에서 개발된 그룹 의사결정지원시스템을 우리 기업에 그대로 적용하기에는 그 효과성에 많은 의문점들이 제기되고 있음을 알 수 있다. 따라서 앞으로는 각 국가의 문화적 요인들이 충분히 고려된 고유의 그룹의사결정지원시스템의 개발이 필요하다. 본 연구는 비교경영의 관점에서 문화의 중요성을 제시한 다음 그룹의사결정지원시스템에서 고려되어야 할 민족정신, 국민특성, 문화등의 한국적인 특징들을 기존의 문헌과 연구들을 통해서 규명하고 이 한국적 특징들의 그룹의사결정시스템에 반영하여 우리의 현실에 맞는 효과적인 한국적 그룹의사결정시스템의 구성요소들을 제시한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.29-38
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• 2005

Although people frequently rely on intuition in managing activities, they rarely use it in developing effective decision-making support systems. In this paper, we investigate and compare the correlations between such characteristics as cognition and emotion characteristics and judgmental time-series forecasting accuracy by using a self-organizing neural network, and eventually aim to help build efficient decision-making atmosphere. The neural network used in this paper employs a self-supervised adaptive algorithm, and the feature of which is that it inherently can use correlation between input vectors by exchanging information between neuron clusters in the self-organizing layer during the training. Our experiments showed that both cognition and emotion characteristics had correlations with judgmental time-series forecasting, and that cognition characteristics had larger correlation than emotion characteristics. We also found that conceptual style had larger correlation than behavioral and analytical styles, and displeasure-sleepiness style had larger correlation than pleasure-arousal style with the forecasting.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.247-255
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• 2017

The study figured out the preference factors which should be considered for investor on decision making of unsold apartment and analyzed by comparing the difference according to the type. Then, it investigated the preference factors through the previous studies to analyze the influence factor of decision making and demonstrated the effects through the PLS (Partial Least Squares) regression. In addition, it separated the target type to tenants and construction firms and carried out the survey for comparing the preference factors of investor type. The result of analysis found out that tenants emphasis on preference factors such as the internal factor (1.141), conditional relaxation (1.114), environment factor (1.107), social factor (1.048), external factor (1.030), educational environment factor (1.010) and etc. Then, construction firms emphasis on preference factors such as the social factor (1.401), environment factor (1.251), conditional relaxation (1.133) and etc. In addition, common preferences factors are the conditional relaxation, social factor, environment factor.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.89-97
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• 2022

Recently, various problems such as reduced productivity, insufficient inflow of skilled manpower, reduced quality, and concerns about increasing safety accidents have appeared in the domestic construction industry. Stakeholder of construction project are considering the Off-Site Construction (OSC) method rather than the conventional on-site construction as an alternative. Despite the importance of decision making in the early stage of the adoption of OSC, there is a lack of methodologies for rational decision making. In this study, a decision making system has been developed to derive the final construction cost score by deriving the project characteristics, selecting the construction difficulty index, and developing a cost model for each construction method alternatives to calculate the standard construction cost. Using this system, the OSC method can be effectively evaluated in terms of its feasibility in the early stage of construction

• Journal of Distribution Research
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• v.7 no.1
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• pp.87-103
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• 2002

This study shows the effect of individual decision style on the Bullwhip effect of supply chain. There are four individual decision styles developed by Rowe and Boulgarides(1992). The analysis of the relationship between individual decision style and supply chain dynamics is focused on overshot against final consumer order rate. Multi methodologies are used to meet the goal of this study, which are survey, game and simulation. As a result of this study, the Bullwhip effect of supply chain isn't influenced by individual decision style. This study shows different result in comparision with the prior research results that individual fact affected the Bullwhip effect of supply chain, Therfore, it is important to improve supply chain infrastructure and system than the individual fact for decreasing the Bullwhip effect of supply chain.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.1-10
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• 2008

In order to high-performance data Processing, effective resource selection is needed since grid resources are composed of heterogeneous networks and OS systems in the grid environment. In this paper. we classify grid resources with data properties and user requirements for resource selection using a decision tree method. Our resource selection method can provide suitable resource selection methodology using classification with a decision tree to grid users. This paper evaluates our grid system performance with throughput. utilization, job loss, and average of turn-around time and shows experiment results of our resource selection model in comparison with those of existing resource selection models such as Condor-G and Nimrod-G. These experiment results showed that our resource selection model provides a vision of efficient grid resource selection methodology.

• 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.