• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.25-39
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• 2008

The objective of this study is to forecast the operational continuous ability using Artificial Neural Networks in battalion defensive operation for the commander decision making support. The forecasting of the combat result is one of the most complex issue in military science. However, it is difficult to formulate a mathematical model to evaluate the combat power of a battalion in defensive operation since there are so many parameters and high temporal and spatial variability among variables. So in this study, we used company combat power level data in Battalion Command in Battle Training as input data and used Feed-Forward Multilayer Perceptrons(MLP) and General Regression Neural Network (GRNN) to evaluate operational continuous ability. The results show 82.62%, 85.48% of forecasting ability in spite of non-linear interactions among variables. We think that GRNN is a suitable technique for real-time commander's decision making and evaluation of the commitment priority of troops in reserve.

• Journal of Agricultural Extension & Community Development
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• v.16 no.4
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• pp.939-965
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• 2009

The Machine Learning has been identified as a promising approach to knowledge-based system development. This study aims to examine the ability of machine learning techniques for farmer's decision making and to develop the reference model for using pig farm data. We compared five machine learning techniques: logistic regression, decision tree, artificial neural network, k-nearest neighbor, and ensemble. All models are well performed to predict the sow's productivity in all parity, showing over 87.6% predictability. The model predictability of total litter size are highest at 91.3% in third parity and decreasing as parity increases. The ensemble is well performed to predict the sow's productivity. The neural network and logistic regression is excellent classifier for all parity. The decision tree and the k-nearest neighbor was not good classifier for all parity. Performance of models varies over models used, showing up to 104% difference in lift values. Artificial Neural network and ensemble models have resulted in highest lift values implying best performance among models.

• Spatial Information Research
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• v.12 no.1
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• pp.57-71
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• 2004

In this study about construction of land consulting information system the system is constructed for the support be rapidly and efficiently of decision making information. Supporting decision making is be sure need when build in land or change form and character of land, that kind of variety land law, conditions of buying land location, distribution of land answering to the development purpose and buying and selling or lease of land. So that land consulting information system can be query, search, identity and analysis for the decision making elements using the computer. The system an another name ALGOSA far the improved extent of legal in ability of system. Like this where spread of system is by company as well as private person, it's company kinds of real estate business, survey and civil designer's office, architectural designer's office and professional1y land development company of great many all over the country.

• Journal of Korea Multimedia Society
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• v.16 no.4
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• pp.502-509
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• 2013

In Information age, The academic liberal art computer education course set up goals to promote computer literacy and develop the ability to cope with changes in information society and improve productivity and national competitiveness. In this paper, we analyze on discovering of decisive variable and satisfaction index to have a influence on computer education on university students. As a preprocessing course, the proposed method selects optimum variable using correlation based feature selection(CFS) of machine learning tool based on Java and we calculate weighted value for each variable and then, we generate the optimal variable using weighted value based on fuzzy decision making method. we proposed Fuzzy decision making method in analysis of the academic liberal art computer education satisfaction index data and checked the accuracy of the satisfaction evaluation by using recall and precision.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.253-263
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• 2001

Purpose : To determine the change of effects of nursing ethics education on the nurses' ethical decision making with the time relapse of one month, three months and six months. Method : Thirteen participated in free discussion group, and fourteen participated in expert-guided discussion group for five weeks. Two weeks before the education, DIT and JAND were assessed, and JAND was assessed again on month, three months and six months after the five weeks' education program. Results : 1) Average realistic scores of JAND did not showed significant differences as times went by. However, scores were highest at three months after the education in general. 2) In both of free discussion and expert-guided discussion group, JAND score increased after the education, and highest at three months in general. 3) Low level moral development group showed highest scores at one month after the education, and declined at three month. However, in middle and high level of moral development groups, scores were higher at three months than at one month after the education. Scores were declined again at six months after the education. Conclusion : Effects of moral education program were highest at three months after the education, and were lessened as times went by. Especially for the low moral development group, effect was not continued more than one month. Therefore, more persistent, periodic education program was required until the ability of ethical decision making is settled down.

• Knowledge Management Research
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• v.12 no.5
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• pp.71-87
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• 2011

This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

• Journal of Environmental Impact Assessment
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• v.5 no.2
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• pp.79-91
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• 1996

In Chapter 40, "Information for decision-making", of Agenda 21, it was Slated that, "indicators of sustainable development need to be developed to provide solid bases for decision-making at all levels and to contribute to a self-regulating sustainability of integrated environment and development systems." Sustainable development has been defined as "development that meets the needs of the present without compromising the ability of future generations to meet their own needs", An indicator that measures sustainability should therefore focus on this definition. One of the most widely used frameworks for environmental indicators is the Pressure-State-Response model proposed by the OECD. And we introduced the the Driving force-State-Response framework, the adaptation of Pressure-State-Response model, for UN sustainable development indicators. Therefore, in our country, indicators for sustainable development should be developed by using the DSR framework.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.277-295
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• 2005

The objective of the study is to verify the discriminatory power of valuation indexes in predicting IT small and medium sized manufacturing firms' going concern or firms' failure. The result of the study is expected to be useful in loan evaluation, investment decision, internal management decision making and business improvement. The results of study is as follows. First, we find that at least six valuation index elements are significant ex-ante variable which are discriminating between firms' going concern and firms' failure in IT small and medium sized manufacturing firms in various analysis' results. Second, these index elements are composed of 2 indexes-the ability of technology R&D, the efficient strategy of market penetration and six index elements explain 46% of the total variance. This explainable power of these indexed is similar to that of the existing 16 index elements. Finally, we find that the most important success factor of IT small and medium sized manufacturing firms are the ability of technology R&D and the efficient strategy of market penetration.

• Journal of dental hygiene science
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• v.19 no.1
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• pp.31-38
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• 2019

Background: This study aimed to investigate the effects of critical thinking and good communication skills on the problem-solving abilities of dental hygiene students. Methods: A total of 508 dental hygiene students were convenience-sampled from 3 universities. Results: The results revealed that critical thinking had the highest intellectual fairness score of 3.60, and systematicity was the lowest at 3.19. The values for communication skills were high in reaction, social adequacy, and concentration, with an average of 3.65. Problem-solving abilities were in the following order: clarification of the problem, seeking solutions, and decision making. According to general characteristics, more extroverted personalities possessed higher levels of critical thinking, communication skills, and problem-solving abilities (p<0.01). Critical thinking scores were high (p=0.016) in students who responded that peer relationship was difficult; however, their communication skills were the lowest (p<0.001). Additionally, problem-solving abilities were highest among students who reported a difficult peer relationship (p=0.001). The higher the satisfaction with dental hygiene academics, the higher the critical thinking, communication skill, and problem-solving ability (p<0.001). Critical thinking showed a high positive correlation with variables in the following order: clarification of the problem, performing the solutions, seeking solutions, decision making, and evaluation and reflection. The communication skills were also related to these variables listed above (p<0.01). With critical thinking, confidence, watchfulness, intellectual passion/curiosity, sound skepticism, objectivity, and systematicity all influenced the problem-solving ability. Conclusion: Communication skills were influenced by noise control, putting on the other's shoe, social tensions, and efficiency, which affected the problem-solving ability. Dental clinics require dental hygienists to have critical thinking to make analytical judgments and effective communication skills to solve human relation problems with patients and care-givers. Therefore, these skills should be developed in dental hygiene students to improve their problem-solving abilities.