• Journal of Korea Water Resources Association
• /
• v.35 no.5
• /
• pp.597-609
• /
• 2002

This study suggests a methodology of hydrologic decision making for the establishment of a standard of drought management from the drought analysis by the past drought history and for the drought monitoring and management according to drought processing. The construction and analysis of a decision tree diagram are performed and the step by step plan according to drought severity is suggested. Say, the decision tree diagram is constructed by the transition probability and quantity of monthly precipitation. Then the drought processing is investigated by the analysis of diagram and the 3-step of drought notice, drought warning, and emergency plan are established. The suggested methology in this study can be used for the other area and the decision tree diagram be used by changing the diagram according to the utilization purposes. Also, the choice of monthly PDSI class and precipitation analysis can be performed by the continuous data supplement. And so, a new standard value by the modified diagram is provided and the continuous drought management will be possible.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.315-318
• /
• 2003

In Korea construction project case, architectural construction project is curtailed production because information network process within multidisciplinary isn't smooth. Particularly, the construction is not insufficient about performance, cost and material, construction process, etc. in result various question arises because of design error in construction step. And various mistake is made because communication path within multidisciplinary isn't smooth in architectural design and design change process. Therefore The final object of this study is to propose the establishment method of decision support process for the cooperative design in order to provides improved design coordination and optimize the building system.

• Journal of Korea Water Resources Association
• /
• v.40 no.12
• /
• pp.969-983
• /
• 2007

This study developed a ten-step procedure of integrated watershed management (IWM) for sustainability to rehabilitate the distorted hydrologic cycle and identified spatial hazard ranking(step 2). Spatial hazard indices, Potential flood damage (PFD), potential streamflow depletion (PSD), potential water quality deterioration (PWQD), and watershed evaluation index (WEI) were developed using multi-criteria decision making (MCDM) techniques and sustainability evaluation concept(pressure-state-response model). The used MCDM techniques are composite programming, compromise programing, Regime method, and EVAMIX approach which are classified by data availability and objectives (prefeasibility and feasibility).

• Journal of The Korean Association of Information Education
• /
• v.17 no.1
• /
• pp.73-81
• /
• 2013

Elementary students are living in the information environment at daily. Also, they are learning the school curriculum lessons are based on information. Computational thinking that based on information from everyday life and the school curriculum is important. Until now, many educational materials for the computational thinking have been developed. But, teaching and learning method for computational thinking have not been developed. In the study, the teaching and learning model for computational thinking for elementary school students will be developed. Computational thinking education model proposed in this study consists of three phases. The first phase is the information gathering stage. The second phase is to perform calculations. The last phase is the decision-making steps. Effective teaching and learning methods that are proposed model in this study for computational thinking education will be used.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.1 s.17
• /
• pp.71-79
• /
• 2004

In the stage of feasibility study of urban rehabilitation projects, the precise forecast of physical and environmental changes has great influence on the further transaction of the projects. However, various important decision makings are made by the experience and intuition of the person-in-charge in practice without the process and method for systematic and quantitative analysis. In spite of various qualitative influent factors on the projects, the feasibility studies are made by the result of economic analysis only, which often lead the projects to the crucial deficit. The main reasons of such a mal-functional transaction are due to the absence of the reasonal procedure of feasibility study and decision making reflecting the characteristics of urban rehabilitation projects. The objective of this paper is to propose feasibility study processes and decision making methods in relation to various influent factors on urban rehabilitation projects in the initial stage. The goal and process of every analysis stage and the pertinent factors and decision makings are analyzed and proposed through the survey of current research, a case study, interview with the professionals. The processes and methods are well applied to improve current problems of feasibility study of urban rehabilitation projects. In addition, the establishment of the analysis goal at three principal stage and a series of reasonable decision makings with pertinent factors to each stage will lead the project to more successful result than ever.

• Journal of Intelligence and Information Systems
• /
• v.17 no.3
• /
• pp.43-61
• /
• 2011

In this research, we propose a dynamic decision making using social context based on ontology. Dynamic adaptation is adopted for the high qualified decision making, which is defined as creation of proper information using contexts depending on decision maker's state of affairs in ubiquitous computing environment. Thereby, the context for the dynamic adaptation is classified as a static, dynamic and social context. Static context contains personal explicit information like demographic data. Dynamic context like weather or traffic information is provided by external information service provider. Finally, social context implies much more implicit knowledge such as social relationship than the other two-type context, but it is not easy to extract any implied tacit knowledge as well as generalized rules from the information. So, it was not easy for the social context to apply into dynamic adaptation. In this light, we tried the social context into the dynamic adaptation to generate context-appropriate personalized information. It is necessary to build modeling methodology to adopt dynamic adaptation using the context. The proposed context modeling used ontology and cases which are best to represent tacit and unstructured knowledge such as social context. Case-based reasoning and constraint satisfaction problem is applied into the dynamic decision making system for the dynamic adaption. Case-based reasoning is used case to represent the context including social, dynamic and static and to extract personalized knowledge from the personalized case-base. Constraint satisfaction problem is used when the selected case through the case-based reasoning needs dynamic adaptation, since it is usual to adapt the selected case because context can be changed timely according to environment status. The case-base reasoning adopts problem context for effective representation of static, dynamic and social context, which use a case structure with index and solution and problem ontology of decision maker. The case is stored in case-base as a repository of a decision maker's personal experience and knowledge. The constraint satisfaction problem use solution ontology which is extracted from collective intelligence which is generalized from solutions of decision makers. The solution ontology is retrieved to find proper solution depending on the decision maker's context when it is necessary. At the same time, dynamic adaptation is applied to adapt the selected case using solution ontology. The decision making process is comprised of following steps. First, whenever the system aware new context, the system converses the context into problem context ontology with case structure. Any context is defined by a case with a formal knowledge representation structure. Thereby, social context as implicit knowledge is also represented a formal form like a case. In addition, for the context modeling, ontology is also adopted. Second, we select a proper case as a decision making solution from decision maker's personal case-base. We convince that the selected case should be the best case depending on context related to decision maker's current status as well as decision maker's requirements. However, it is possible to change the environment and context around the decision maker and it is necessary to adapt the selected case. Third, if the selected case is not available or the decision maker doesn't satisfy according to the newly arrived context, then constraint satisfaction problem and solution ontology is applied to derive new solution for the decision maker. The constraint satisfaction problem uses to the previously selected case to adopt and solution ontology. The verification of the proposed methodology is processed by searching a meeting place according to the decision maker's requirements and context, the extracted solution shows the satisfaction depending on meeting purpose.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.9 no.3
• /
• pp.47-61
• /
• 2014

Many angel investors hesitate to invest in early-stage company. Most early-stage company has no sales and only R&D step project or in early approach of market. So it's impossible to evaluate early-stage company quantitatively. Therefore many angel investors depend on CEO's tendency to evaluate company and make decision for investment. The purpose of this study is discover the entrepreneurial characteristics of CEO and the importance level which affect on the angel investors decision making factors for investment. To identify the factors of entrepreneurial characteristics, survey was conducted by Delphi Technique which is involved by 20 experts who is angel investment club members, venture capitalists, CEOs and officers. Three rounds of survey results derived 10 elements of entrepreneurial characteristics for investment decision making factors including reliability, risk sensitivity, passion, perseverance, integrity, leadership, startup experience, organizational management skills, innovation and social networking. In addition, this study derived the importance level of elements of entrepreneurial characteristics based on the AHP(Analytic Hierarchy Process) theory and maintained the logical consistency by pair-wise comparison for each element. As a result of analyzing the importance of entrepreneurial characteristics, the sequence is reliability (18.1%), integrity (15.9%), leadership (11.7%), organizational management skills (10.0%), social networking (9.5%), passion(9.1%), perseverance(8.4%), innovation(8.1%), startup experience(5.3%) and risk sensitivity(3.9%) respectively. The significance of this study is somewhat decrease limit of the uncertainty arising from angel investors and angel investors can help a decision making, by discover factors of entrepreneurial characteristics that can be called the biggest influencing factors among Investor's investment decision-making In early stage companies and compare importance.

• Journal of Global Scholars of Marketing Science
• /
• v.13
• /
• pp.135-158
• /
• 2004

On-line consumers have some visit behavior characteristics when they visit internet-shopping mall between visit-stage and purchase-stage. Therefore, information of on-line consumers have influenced on internet-shopping mall's profitabilities at site manager's perspectives. For examples, Are any on-line consumers continuous visiting under any situations? Or are any on-line consumers purchased on any specific internet-shopping mall? Expecially in this paper, researcher tried to understand visit behavioral characteristics of on-line consumers using two-stage mixture regression analysis. Throughout this process, it could be proposed method, which could be reinforced competitiveness of internet-shopping mall by segmental decision-making method. Additionally, it is expected that visit behavioral characteristics' information could be supplied strategic implications between visit-stage and purchase-stage Throughout empirical test it could be proved two-stage decision-making process, which decision-making process of on-line consumers would be processed visit-stage and purchase-stage. In this study, researcher proposed suitable response strategy after understanding visiting behavioral characteristics of on-line consumers. This paper has some academical contributions, which visit behavioral characteristics of on-line consumers could be grasped the meaning by site stickiness and navigation pattern.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2016.05a
• /
• pp.289-290
• /
• 2016

본 논문에서는 지속적인 상황인지 작업이 요구되어 업무 피로도가 매우 높은 선박교통관제 업무의 업무 부하 저감을 위해 관제맥락 정보를 활용한 의사결정지원 시스템을 제안하였다. 제안하는 의사결정지원 시스템은 선박교통관제에 활용되는 다양한 정보들을 정량화하여 사실 데이터베이스를 구축하고, 여기에 선박교통관제에 활용되는 비정형의 규칙들을 정형화하여 적용함으로써 의사결정에 필요한 정보를 도출할 수 있도록 하였다. 또한 여러 단계로 추상화된 관제맥락정보를 생성 및 적용할 수 있도록 하여 고수준의 논리 적용이 가능하도록 함으로써 선박교통관제 규칙 생성이 용이하도록 하였다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.07a
• /
• pp.197-198
• /
• 2014

본 논문에서는 여러 기관이 함께 투입되어 구조 및 진압 활동을 하는 특수재난현장의 소방대원은 각종 위험환경에 장시간 노출된 상태로 할동을 하고 있으며 또한 진압 및 구조 활동을 하는 동안 부지중에 팀에서 이탈하여 고립되는 경우가 발생되며 이로 인해 인명 피해가 발생하고 있다. 이러한 문제점을 해결하고자 진압 및 구조 현장의 영상 및 각종 환경 정보 수집과 대원간의 위치정보를 수집하는 연구가 활발하게 진행되고 있다. 그러나 현재 연구단계에서 수집된 정보는 각기 보관하여 처리되고 있음으로 종합적인 데이터를 통해 신속하고 지능적인 의사결정지원시스템이 필요한 상황이다. 재난 환경 정보와 대원의 안전 정보 및 대원의 위치등 수집된 정보를 기반으로 신속하게 의사결정을 내림으로 안정된 구조 및 진압 활동을 지원할 뿐 아니라 불의의 사고로부터 소방 대원의 생명을 보호할 수 있는 의사결정지원시스템을 개발하고자 한다.