• Asia pacific journal of information systems
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• v.6 no.2
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• pp.5-17
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• 1996

There are various cases that we vote for making a decision or combining ideas (i.e. human being's opinions) in group meetings. Group Decision Support System(GDSS) provides us with a number of voting methods for decision making or aggregation of the ideas. It is generally difficult to select a voting method appropriate for given a meeting situation, without any aid of experts or computers having a knowledge on voting. In this paper we propose a supporting system for selecting an appropriate voting method. Since the selected method is recommended to the facilitator of GDSS, a part of time and effort related with the voting would be reduced. The knowledge in the system is represented as rules that are inductively generated from examples of voting. We used UNiK-INDUCE with ID3 algorithm so as to learn, which is a tool of developing expert systems.

• Journal of Korean Society for Quality Management
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• v.34 no.3
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• pp.31-40
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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 the managers in their decision making. That is the reason many companies are tend to have Business Intelligence Systems. 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 studied more to help managers make right decisions for the DSS implementation.

• Journal of the Korean Operations Research and Management Science Society
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• v.11 no.2
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• pp.51-68
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• 1986

The effects of goal setting in the context of Multiple Criteria Making (MCDM) are classified into two types : internal and external. In the internal models, the impact of the changed goal is limited only to the other goals in MCDM model. By contrast, in the external models, the impact is limited to the factors not included in the MCDM model. In fact, most real world examples of goal setting have the nature of mixed models. To assist in the goal setting process, the framework named Goal Setting Support (GSS) is developed. The GSS helps decision-makers for mixed models to 1) make internal trade-offs in a way that guarantees non-dominancy after the trade-ofs, and 2) evaluate achieved goals systematically. The GSS can be used in creating Decision Support Systems that will allow interactive goal setting.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.1
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• pp.1-9
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• 2015

A combined treatment system using multiple source water is becoming important as an alternative to conventional water supply for small-scale water systems. In this research, combined water treatment systems were investigated for simultaneous use of multi-source water including rainwater, ground water, river water, and reclaimed wastewater. A laboratory-scale system was developed to systematically compare various combinations of water treatment processes, including sand filtration, microfiltration (MF), granular activated carbon (GAC), and nanofiltration (NF). Results showed that the efficiency of combined water treatment systems was affected by the quality of feed waters. In addition, a simply approach based on the concept of linear combination was suggested to support a decision-making for the optimum water treatment systems with the consideration of final water quality.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.183-192
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• 2005

Recently, community computing has been proposed for group formation and group decision-making. However, legacy community computing systems do not support group need identification for ad hoc group formation, which would be one of key features of ubiquitous decision support systems and services. Hence, this paper aims to provide a multi-agent based methodology to enable nomadic community computing which supports ad hoc need identification and group formation. Focusing on supporting group decision-making of relatively small sized multiple individual in a community, the methodology copes with the following three characteristics: (1) ad hoc group formation, (2) context-aware group need identification, and (3) using mobile devices working in- and out-doors. NAMA-US, an RFID-based prototype system, has been developed to show the feasibility of the idea proposed in this paper.

• 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 Culture and Social Issue
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• v.30 no.3
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• pp.267-298
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• 2024

Childcare support for working mothers is crucial for women's smooth transition into society, career development, and well-being. Based on interviews with 10 Korean working mothers with children aged 0-2, this paper explores the process of utilizing childcare support services, psychological experiences, and plans for work-life balance using the grounded theory analysis method. The analysis revealed three categories: the decision-making process before using the childcare services (past), experiences during the use of childcare support (present), and future plans for work-life balance (future). The decision-making process before using childcare support services consisted of the following categories: seeking information about childcare support services, having family discussions during the decision-making process, the proposer and decision-maker of the services, and the final decision on childcare support services. Experiences during the use of services included economic burdens, changes in postnatal career paths, disparities between expectations and the reality of pre- and post-childbirth, discrepancies between expectations and reality in work-family balance, factors affecting of quality of life, and the division of household and childcare responsibilities with husbands. Plans for future work-life balance included categories such as the desire for career advancement, the desire to maintain a career, the desire for temporary or reduced career commitment, and uncertainty regarding future career plans. Finally, the study investigated whether there were differences in the past and present service usage processes and experiences based on plans for future work-life balance. This research suggests the need for multidimensional support for working mothers' work-family balance and well-being, and highlights the need to reduce uncertainty about women's future careers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.297-308
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• 1994

In the information system, there are many fields that used by decision making support system. Nowadays, the reasons that the need of the decision making system in audit is increased, are as follows. \circled1 The increased of competitiveness in audit environment \circled2 The rapid replenishment of computer hardware and computer system in corporations. The purposes of this study are as follows. \circled1 The connection of Internal management assess results and practical examination. \circled2 In the making of audit opinion, the establish of non-measure and evaluate logic. \circled3 The suggestion of knowledge base structure about the audit task. \circled4 The development of prototype system for the accounting audit expert system. The expected usefulness of accounting audit expert system development are as follows. \circled1 Audit time may be saved \circled2 The consistence of opinion will be increased \circled3 The elevation of audit technique \circled4 The decreased of audit risk \circled5 In the decision making rationlization of accounting information users, it will be proved as usefulness.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.255-264
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• 2019

This study was a cross-sectional study done to determine the relevance and impact factors of critical thinking and nursing practice environment on clinical decision making among nurses. A survey was conducted for April 2017 with self-report questionnaire. Participants were 261 registered nurses working in one tertiary hospital. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis with SPSS/WIN(21.0). Factors affecting clinical decision making included age, educational background, position, work shift, clinical career. Clinical decision making had a positive correlation with critical thinking and nursing practice environment. And position, critical thinking and nursing practice environment accounted for 35.8% of the variance in clinical decision making. Therefore, quality management for developing nursing professionalism and administrative support for effective staffing and resource adequacy in addition improving critical thinking increase nurses'clinical decision making.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.179-188
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• 2014

Social overhead capital (SOC) facilities are being threatened continuously by abnormal climate events that are increasing globally. For disaster response, rapid decision making on evacuation routes and other matters is critical. For this purpose, spatiotemporal information that combine data on disasters and SOC facilities needs to be utilized. This information is separately collected by government agencies and public organizations, and is not managed in an integrated manner. For rapid disaster response, an integrated management of separately collected disaster data and the creation of such information as the safety and damages on SOC facilities are required. To achieve this goal, it is essential to build inventories that integrate all the related information to support decision making indispensable for disaster response. In this study, a development plan for an integrated inventory management system based on the management and connection of inventories to support rapid decision making for disaster response is proposed. This system can collect and standardize data related to disasters and SOC facilities that are being managed separately and provide integrated information in line with the needs of users. The proposed system can be used as a decision making tool for proactive disaster response.