• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• Spatial Information Research
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• v.9 no.1
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• pp.91-105
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• 2001

This study aimed to develop an effective decision support system for the locational decision of urban parks through integrating decision analysis techniques with spatial analysis functions of GIS, and by doing so, to improve the efficiency and quality of the decision-making process. The system provides an efficient management process by integrating analysis, alternative generation and evaluation procedures into a coherent system environment. Evaluation criteria used in the system includes Equity, Efficiency, Service population, Land cost, Park ratio buildings, and Connectivity of greenery. The system also improves the efficiency and rationality of the decision-making process by incorporating various decision analysis techniques such as MAUT, AHP, and ELECTRE into a decision-making process. The analysis and decision support methods used in the system can be utilized for the locational decisions of other urban public facilities, and the system can also be expanded to a comprehensive park management system by incorporating general management functions for urban parks.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.310-312
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• 2003

This paper discusses a GIS based decision support system that provides functions of prospect screening and evaluation in both technical aspects (Volume, structure, trap, reservoir and charge, etc.) and economic aspects (Net present value, Profit / investment Ratio, etc.). The decision support system has been tested in a virtual offshore exploration prospect to facilitate and improve the decision making process. The study represents a test bed for decision makers at all levels to establish prospect screening and evaluation guidelines that may be applicable to other related prospect investment issues.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.268-276
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• 2015

A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

• Journal of Korean Academy of Nursing
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• v.29 no.4
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• pp.880-891
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• 1999

The purpose of this study was to describe nursing decision tasks, their characteristics, and problems associated with decision making. The subjects were 32 nurses who had at least one-year nursing experience and worked on medical-surgical units or intensive care units(ICU). They were asked to describe their decision making experiences in patient care situations and to identify the characteristics of each decisions. They were also asked to describe perceived problems associated with decision making in nursing. The responses on nursing decision tasks and problems were analyzed with content analysis and the decision characteristics were identified by statistical analysis of variance. It was found that there were 16 nursing decisions which are as follows : decisions related to interpreting and selecting appropriate strategies for pain management(6.6%) ; decisions related to providing emotional support (0.7%) ; decisions related to explaining the patient's condition and rationale for procedures(1.1%) ; decisions related to assisting patients to integrate the implications of illness and recovering into their lifestyles(2.9%) ; decisions related to detecting significant changes In patients and selecting appropriate intervention strategies (17.2%) ; decisions related to anticipating problems and selecting preventive measures(4.2%) ; decisions related to identifying emergency situations(0.4%) ; decisions related to effective management of patient crisis until physician assistance becomes available(2.8%) ; decisions related to starting and maintaining intravenous therapy(2.6%) ; decisions related to administering medications(8.1%) ; decisions related to combating the hazards of immobility(7.3%) : decisions related to treating wound management strategies(5.5%) ; decisions related to relieving patient discomfort(13.9) ; decisions related to selecting appropriate strategy according to the changing situation of the patient(18.2%) ; decisions related to selecting the best strategy for patient management(5.3%) ; and decisions related to coordinating, ordering, and meeting the various needs of the patient (3.1%). The nurses reported the fellowing problems in decision making : difficulties due to lack of knowledge and experience (18.6%) ; uncertainty and complexity of decision tasks(15.2%) ; lack of time to make decisions(2.9%) ; personal values which conflict with other staff(15.7%) ; lack of selection autonomy(30.0%) ; and organizational barriers(7.6%). Continuing education programs and decision support systems for frequent nursing decision tasks can be established on the basis of these results. Then decision ability in nurses will increase through the education programs and decision support systems, and then quality of nursing service will be better.

• Journal of Information Processing Systems
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• v.11 no.4
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• pp.616-629
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• 2015

A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.49-58
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• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.511-520
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• 2017

The purpose of this study was to investigate the effect of the outplacement service on the career decision-making self-efficacy of discharged soldiers after mid- to long-term service. The survey carried out for this research was on 557 male discharged solders living in the Seoul, Incheon, and Gyeonggi areas. The information was processed using frequency analysis, factor analysis, reliability measurement, independent sample t-test, one-way ANOVA analysis, correlation analysis, and multiple regression analysis by means of the SPSSWIN 22.0 program. The results of this study suggest that counseling, education and training affect only some sub-factors of the career decision self-efficacy. Administrative support positively affects the job information collection skill, goal setting skill, planning skill, and problem solving skill among the sub-factors of the career decision self-efficacy. Job activities support had no effect on the career decision self-efficacy.

• Culinary science and hospitality research
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• v.18 no.2
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• pp.106-117
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• 2012

The purpose of this study is to analyze the mediating effect of career decision-making self-efficacy on the relation between the social support of professors and the career preparation behaviors of students who specialize in foodservice & culinary art. The participants of the study consisted of 250 students from the departments related to foodservice and culinary art of the three universities located in Chungcheong province. A total of 217 responses out of the 250 questionnaire were analyzed without the 33 incomplete questionnaires. The results of this study are as follows. First, it was shown that professors' social support had a significant positive effect on the career decision-making self-efficacy and the career preparation behaviors. Second, it shows that the career decision-making self-efficacy played a partial mediating role when the social support of the professors is related to the career preparation behavior. Therefore, the career education based on emotional, informational, material, and appraisal supports of the professors probably play a critical role in improving the career decision-making self-efficacy and the career preparation behaviors of the students majoring in food service & culinary art.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.155-164
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• 2022

The review of known decisions showed that currently there are no systems and technologies for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services. The paper models the decision-making support process on the possibility of concluding the civil law agreements for medical, therapeutic and dental services, which is the theoretical basis for the development of rules, methods and system for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services. The paper also developed the system for supporting the decision about the possibility of concluding the civil law agreements for medical, therapeutic and dental services, which automatically and free determines the possibility or impossibility of concluding the corresponding civil law agreement for the provision of a corresponding medical service. In the case of formation of a conclusion about the possibility of concluding the agreement, further conclusion and signing of the corresponding agreement takes place. In the case of forming a conclusion about the impossibility of concluding the agreement, a request is made for finalizing the relevant agreement for the provision of the relevant medical service, indicating the reasons for the impossibility of concluding the agreement - missing essential conditions in the agreement. After finalization, the agreement can be analyzed again by the developed system for supporting the decision.