• Korean Management Science Review
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• v.17 no.2
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• pp.21-37
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• 2000

This study proposes a Web Decision Support System (DSS) as a new approach to resolving conflicts arising at the interface of production and marketing which have traditionally been in conflict with each other. Many researchers studied on the types and resolution mechanisms of conflicts among various organizations and organizational units. However, as global and distributed operations of firms based on the Internet become a commonplace business landscape, these conflict resolution mechanisms are found very difficult to be directly applied. From this perspective, the Web DSS proposed in this study can be claimed to be appropriate for the Internet-based distributed business operations. The current related literature on the production-marketing interface shows that the possible use of the Web DSS approaches has little been studied in spite of the decent amount of research conducted on the coordination of decision making between the two functions. This paper develops the architecture of the Web DSS and demonstrates its effectiveness based on the implementation results.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.167-176
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• 2005

It has been an important agenda to acquire effective decision making procedure for various issues occurred in education area. As an example, when it comes for the ministry of education to make a decision on such an issue that proper investment, to enhance information of education area, in national wide elementary schools, an effective decision making procedure will aid to establish right way of investment. Currently, the questionnaires gathered from school teachers or the related professional consultants are the only resources in order for making such a critical and important decision. Recently, however, educational, medical, and financial industries are looking forward the best decision making method integrated with rapidly upgraded modern IT technologies using the various resources and tools which they already possess. With this subject in mind, in this paper we present a generic decision making model applying ADALINE neural network. The model can be easily adapted to various problems arising in education area. We proved the model through simulations with realistic sample data.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.4
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• pp.551-557
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• 2017

Commanders want to receive quickly scientific and analytic results about the battlefield situation. Unfortunately, decision support system of Army Tactical Command Information System(ATCIS) is restricted to message procedures and searching function based on manual work. In this paper, we propose applying Data Mining to ATCIS for supporting rapid decision making based on the scientific and analytic method. The purpose of this proposal is to efficiently execute the tactical planning and employment of the subordinate units in order to achieve the mission.

• Korean Journal of Construction Engineering and Management
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• v.13 no.1
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• pp.129-139
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• 2012

It is one of the most important decision making problems to select the adequate foundation practice for the downtown construction project. However the foundation practice has not been selected systematically yet by considering various construction field conditions in many projects. The foundation practice is often informally selected on the basis of only past experiences and skilled engineer's opinion. For making the selection process systematically, in this study, we propose a decision support system (DSS) for selecting foundation practices based on the Analytic Hierarchy Process (AHP) and the Preference Function (PF). In the proposed DSS, the AHP is used for making the selection process more reasonable and the PF is used for considering the decision maker's preference. To validate the proposed DSS, we apply the proposed DSS to the pre-performed construction projects. The application results show that the proposed DSS gives the same foundation practices with the implemented foundation practices that the skilled foundation engineers select after carefully analyzing construction field conditions. The proposed DSS can be used as a useful tool for making decisions to select the foundation practice in the construction fields.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.71-78
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• 2022

Recently, the number of people wishing to return to farming is increasing, However, the lack of farming experience and management information of returnees is one of the main reasons for increasing the probability of agricultural failure. This study proposes an interface to support early facility cultivation management decision-making for returnees who want facility cultivation. The proposed interface is designed with UML(Unified Modeling Language) and provides key decision-making information such as land/crop suitability, land/facility costs, and management costs according to input data such as cultivation areas, selected crops, and cultivation types selected by the user. Through the proposed interface, facility cultivators can effectively and quickly acquire initial decision-making information for facility cultivation in the desired target area.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.148-151
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• 2003

Recently school food service operations are confronted with the wide spread pressures for accountability and the need to increase productivity. This paper is concerned with the make-or-buy decision framework for school food service systems considering the multi-attributes in the decision making. For the purpose of considering the multi-attributes analysis method in decision making for the school foodservice, we developed a make-or-buy decision framework using the multi-attribute analysis method, analytic hierarchy process, AHP method for school food service system. Finally, we developed a systematic and practical solution builder for a three-step decision support system in the view of 1) brainstorming for the idea generation, 2) analytic hierarchy process, AHP as a multi-attribute structure ed analysis method, and 3) aggregation logic model to integrate the results of reviewers. We developed web based program and applied it to a school foodservice problem.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.1
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• pp.62-71
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• 2008

Recently, the expansion of housing developments has reduced green areas in cities. The reduction of green areas caused many negative effects on human beings. For functional improvement of ecosystem, government focuses on artificial ground greening because it gives improving microclimate and saving energy consumption. This research aims to develop the system to support decision making of greening for artificial ground greening. This system consist of rooftop greening, wall greening, and street greening system which can suggest proper type of greening and calculate the effect of the greening considering the proponents inputs. It presents social, economic, and ecological value such as cost, energy saving, and temperature reduction. As it is web-based system users can easily access with internet. This system provides automatic selection modes.As a result, with this developed web-based system, decision makers can evaluate the effect of artificial ground green easily and the support to such movement will increase.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.86-91
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• 2006

Companies had to be more intelligent in order to survive in the rapidly changing environments. We need to make a decision to build the Information System to support their decision making. But, how can we know the new system would be better than the old system in making us intelligent? The answer is we can do it with the concept of Intelligence Density. In this study, Intelligence Density concept will be introduced, and the way how it can be applied to the information system will be presented. I think Intelligence Density should be studiedmoretohelpmanagersmakerightdecisions.

• Korean Journal of Digital Imaging in Medicine
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• v.9 no.1
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• pp.17-19
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• 2007

This study applies in case of operating an exam using by the contrast order or inputting an order of a contrast media the exam of Radiology Department. It is developed for helping decision making as regards a process of an exam from reading the creatinine value automatically linked with Laboratory Information System. It can be confirmed by real-time information; therefore, the creditability of the information is able to be improved. We will create the base for Patient Monitoring System with the data from the side effect of the creatinine value and allergies. Decision Support System minimize the inconvenience and the riskiness of the given contrast medium for CT tests. We would like to improve medical services by providing a standard circumstance where patients are able to run tests safely and comfortably.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.109-116
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• 2005

This paper is to develop the prototype of a decision making for loan granting system at banks and to evaluate the effectiveness of it. The prototype is called at FENET-LG in this paper. The decision to grant a loan is an unstructured and vagueness task because it is required a tremendous amount of data and many complex relationships among them. Evaluating these many data and relationships is a difficult task even for most experienced decision maker of bank. Therefore, where complex judgement is required, the decision maker of bank may benefit from the use of fuzzy expert network to support the evaluation of ability to pay back. Given the characteristics of decision maker of banking facilities judgement task about ability to pay back, the prototype system named FENET-LG is constructed by integration of fuzzy expert system and neural network. The FENET-LG takes advantage of both the deductive approach of fuzzy expert system and the inductive approach of a neural network to provide a decision aid designed to support and facilitate the process of conducting a judgement of ability to pay back.