• Journal of the Korean Operations Research and Management Science Society
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• v.20 no.3
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• pp.77-104
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• 1995

Intelligent Decision System support the decision analysis process in the managerial problems with decision analytic knowledge as well as domain specific knowledge. Influence Diagram has been one of the major knowledge representation in the intelligent decision system. In the development of intelligent decision system, knowledge acquisition is also known to be difficult. This paper suggests a developing tool using an influence diagram and Verbal Protocol Analysis which facilitates knowledge acquision for intelligent decision system. An ennvironmental decision making problem is used as an illustrative example and validation of the suggested developing tool is discussed. The suggested tool is very flexible to be expanded or applied to similar problems.

• Imaging Science in Dentistry
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• v.36 no.1
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• pp.1-5
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• 2006

During the diagnostic process of the various oral and maxillofacial lesions, we should consider the following: 'When should we order diagnostic tests? What tests should be ordered? How should we interpret the results clinically? And how should we use this frequently imperfect information to make optimal medical decisions?' For the clinicians to make proper judgement, several decision making tools are suggested. This article discusses the concept of the diagnostic accuracy (sensitivity and specificity values) with several decision making tools such as decision matrix, ROC analysis and Bayesian analysis. The article also explain the introductory concept of ORAD program.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.76-85
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• 2016

This paper presents a method of decision on where bus splitting is needed to reduce fault current level of power systems and to satisfy the fault current constraints. The method employs a modified fault current constrained optimal power flow (FCC-OPF) with X variables for the candidate locations of splitting and for decision making on whether to split or not, it adopts soft-discretization by augmenting inversed U-shaped penalty terms. Also, this paper discusses the procedure on the adequate selection of bus splitting locations based on the results of the modified FCC-OPF, to reduce the total number of the actions taken.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.11 no.2
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• pp.43-58
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• 2003

To decide the type of airplane to purchase in air service agencies is a typical matter of multi-criteria decision making process. The selection of airplane type is very important because it has great impact on the budget and management of air service agency, once the decision has been made. AHP is being recognized as one of many effective methods of multi-criteria decision making processes. In this study, checklist for the selecting optimum type of light airplane to be purchased is developed by the AHP.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.10a
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• pp.176-183
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• 2006

A novel intelligent anti-collision decision-making supporting system is addressed in this paper. To obtain precise anti-collision information capability, an innovative neurofuzzy network is proposed and applied. A fuzzy set interpretation is incorporated into the network design to handle imprecise information. A neural network architecture is used to train the parameters of the Fuzzy Inference System (FIS). The learning process is based on a hybrid learning algorithm and off-line training data. The training data are obtained by trial manoeuvre. This neurofuzzy network can be considered to be a self-learning system with the ability to learn new information adaptively without forgetting old knowledge. This supporting system can decrease ship operators' burden to deal with bridge data and help them to make a precise anti-collision decision.

• Journal of Korean Society of Rural Planning
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• v.4 no.2
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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.

• Proceedings of the Korean Society of Rural Planning Conference
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• 1998.10a
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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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.311-319
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• 2015

In this paper, in order to increase the production efficiency of the industrial plant, and predicts the resources of the manufacturing process, we have proposed a decision-making system for resource implementing the risk management effectively forecasting and risk management. A variety of information that occurs at each step efficiently difficult the creation of detailed process steps in the scenario you want to manage, is a frequent condition change of manufacturing facilities for the production of various products even within the same process. The data that is not contiguous products production cycle also not constant occurs, there is a problem that needs to check the variation in the small amount of data. In order to solve these problems, data centralized manufacturing processes, process resource prediction, risk prediction, through a process current status monitoring, must allow action immediately when a problem occurs. In this paper, the range of change in the design drawing, resource prediction, a process completion date using a regression algorithm to derive the formula, classification tree technique was proposed decision system in three stages through the boundary value analysis.

• The Research Journal of the Costume Culture
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• v.4 no.2
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• pp.157-171
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• 1996

The purpose of this study was to find out the effect of fashion information source in the stage of purchase decision-making and difference by stage of purchase decision-making and difference by stage of the effect extend, and to analyze the difference by fashion information source. For this study, the data were collected through the questionnaire distributed to 337 female students from five universities. The results are as follows: 1) There was significant difference among the effect to fashion information source according to the purchase decision-making stage. At the adoption stage, fashion information source have the most effect on clothing purchase. 2) The effect of Impersonal Source in the purchase decision-making stage was gradually decreased fro the initial (awareness, interest) sage to the late stage. 3) The effect of Personal Source in the purchase decision-making stage was gradually increased from the initial (awareness, interest) stage to the late stage. 4) Addition stage was highly influenced by friend and family that was Personal Independent Source than other fashion information source. However the final selection on clothing purchase was not influenced by friend and family. 5. There was significant difference among the effect of fashion information source according to the grade. Low garde students were highly influenced by Personal Source on clothing purchase, but high grade students were highly influenced by Impersonal Sources on clothing purchase. 6) There was significant difference among the effect of fashion information source according to the major. The students a majored clothing & textile-design were highly influenced by Impersional Source. These results suggest that fashion information source was significantly different according to purchase decision-making stage and was influenced by grade and major of subjects.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.10-16
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• 2021

As the implementation of smart factories spreads widely, the need for research to improve data efficiency is raised by prioritizing massive amounts of big data using IoT devices in terms of relevance and quality. The purpose of this study is to investigate whether prioritizing big data in management accounting decisions such as cost volatility estimation and recipe optimization can improve smart solution performance and decision-making effectiveness. Based on the survey answers of 84 decision makers at domestic small and medium-sized manufacturers who operate smart solutions such as ERP and MES that link manufacturing data in real time, empirical research was conducted. As a result, it was analyzed that setting prioritization of big data has a positive effect on decision-making in management accounting. became In addition, it was found that big data prioritization has a mediating effect that indirectly affects smart solution performance by using big data in management accounting decision making. Through the research results, it will be possible to contribute as a prior research to develop a scale to evaluate the correlation between big data in the process of business decision making.