• Journal of Korea Water Resources Association
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• v.46 no.2
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• pp.99-109
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• 2013

Increasing complexity of the basin environments makes it difficult for single decision maker to consider all relevant aspects of problem, and thus the uncertainty of decision making grows. This study attempts to develop an approach to quantify the spatial flood vulnerability of South Korea. Fuzzy TOPSIS is used to calculate individual preference by each group and then three GDM techniques (Borda count method, Condorcet method, and Copeland method) are used to integrate the individual preference. Finally, rankings from Fuzzy TOPSIS, TOPSIS, and GDM are compared with Spearman rank correlation, Kendall rank correlation, and Emond & Mason rank correlation. As a result, the rankings of some areas are dramatically changed by the use of GDM techniques. Because GDM technique in regional vulnerability assessment may cause a significant change in priorities, the model presented in this study should be considered for objective flood vulnerability assessment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.29-37
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• 2009

National R&D programs play an important role in the development of a country in this age of the knowledge economy. Since many numbers of R&D programs compete for limited resources such as national R&D budget, the R&D program evaluation problem is a challenging decision-making problem faced by decision makers that deal with R&D management. In this sense, DEA(Data Envelopment Analysis) has been regarded as one of the most widely accepted methods to measure the relative efficiency of productivity of R&D programs. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units(DMUs) in a process which uses multiple inputs to produce multiple outputs. However, the sample of the R&D programs could consist of two or more naturally occurring subsets, thus exhibiting clear signs of heterogeneity such as different objectives. In such situations, the fairness of DEA is limited, for the nature of the relative efficiency of a DMU is likely to be influenced by its membership in a particular subset of the sample. In this study, we propose a methodology AI-DEA(attainment index DEA) allowing for reflecting decision maker's subjective judgement on difference among different subsets of R&D programs which have heterogeneous objectives. This methodology combines AHP and Delphi in order to decide the attainmnet index of each DMU for each outputs, and apply them to DEA model. We illustrate the proposed approach with a pilot evaluation of 13 programs involving 6 different subsets of Korean National R&D programs and compares the results of the original DEA model and AI-DEA model.

• Journal of Information Technology and Architecture
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• v.9 no.1
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• pp.43-55
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• 2012

In recent years, outsourcing of information systems, including decision support systems has become a key method for managing the system portfolio of a corporation. Since the outsourced DSSs provide their own models and solvers, which may be created on the basis of different modeling practices and system platforms, the decision maker wishing to solve business problems using the outsourced DSSs frequently faces a difficulty in selecting and/or applying appropriate models and solvers to the problems on hand. This paper proposes a DSS outsourcing architecture that enables a user to discover and execute appropriate models and solvers, even though the user is not knowledgeable enough about all the details of the models and solvers. Specifically, this paper adopts a Web services approach to integrate the heterogeneous models and solvers by encapsulating individual models and solvers as Web services and hiding all system specific implementation details from the users.

• Journal of Korean Academy of Nursing
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• v.49 no.3
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• pp.329-339
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• 2019

Purpose: The purpose of this study was to investigate the frequency, patterns, and factors of reversals in decisions about life-sustaining treatment (LST) among older patients with terminal-stage chronic cardiopulmonary disease. Methods: This was a retrospective correlational descriptive study based on medical chart review. De-identified patient electronic medical record data were collected from 124 deceased older patients with terminal-stage cardiopulmonary disease who had made reversals of LST decisions in an academic tertiary hospital in 2015. Data were extracted about the reversed LST decisions, LST treatments applied before death, and patients' demographic and clinical factors. Multivariate logistic regression analysis was used to identify the factors associated with the reversal to higher intensity of LST treatment. Results: The use of inotropic agents was the most frequently reversed LST treatment, followed by cardiopulmonary resuscitation, intubation, ventilator therapy, and hemodialysis. Inconsistency between the last LST decisions and actual treatments occurred most often in hemodialysis. One-third of the reversals in LST decisions were made toward higher intensity of LST treatment. Patients who had lung diseases (vs. heart diseases); were single, divorced, or bereaved (vs. married); and had an acquaintance as a primary decision maker (vs. the patients themselves) were significantly more likely to reverse the LST decisions to higher intensity of LST treatment. Conclusion: This study demonstrated the complex and turmoil situation of the LST decision-making process among older patients with terminal-stage cardiopulmonary disease and suggests the importance of support for patients and families in their LST decision-making process.

• Journal of the Korean earth science society
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• v.45 no.4
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• pp.404-420
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• 2024

Many risk-related issues within the realm of science education have been addressed through science-technology-related socioscientific issues (SSI) education. It has been established that the topics categorized as SSI are interconnected with risk-related issues. These topics emphasize numerous points of convergence with the goals of SSI education, particularly in understanding and analyzing risks, including risk assessment, risk management, and risk decision-making. Such understanding can aid in grasping the complexity of SSI based on risk-related issues and facilitate informed decision-making by structuring debates. Although there has been discourse on the need for education aimed at future survival and reflection on the responsibilities and roles of education in risk-prone societies, concepts or strategies related to actual risk responses are rarely addressed in science education and schools. Education tailored to risk-prone societies is not yet well established. This study explored the incorporation of climate change risk education into science education. A framework for climate change risk education was developed, encompassing seven elements, with corresponding definitions and examples. The researchers applied this framework to evaluate the extent to which climate change risk education is integrated into the current science curriculum of Korea. Additionally, SSI lesson scenarios related to climate change were analyzed using this risk education framework to determine the types and extent of risk education incorporated. The findings underscore the importance of teaching climate change risk education to equip students for rational decision-making.

• Journal of Korean Clinical Nursing Research
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• v.14 no.2
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• pp.59-70
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• 2008

Purpose: Purposes of this study were to promote understanding on mutually informed consent by comparing and analyzing the perception and experience of informed consent among physicians, nurses, and patients. Method: Participants in the study were 145 physicians, 300 nurses, and 178 patients from eight hospitals in Busan. To examine their understanding and experience with informed consent, all participants responded to a questionnaire. The collected data were analyzed using SPSS/PC 12.0 program. Results: On the necessity of informed consent, the affirmative percentages were 95.9% for physicians, 99.0% for nurses and 84.8% for patients. As to the most important reason for informed consent 47.6% of the physicians and 64.3% of the nurses answered 'because it is an occupational and ethical duty', while 46.6% of the patients answered 'because it is protection for physicians'. Regarding the legal decision maker for informed consent, 33.1% of the physicians, 27% of the nurses, and 42.1% of the patients answered that the legal decision-making right belonged to the 'patient'. The agreement rate on the necessity of providing a comprehensive explanation about informed consent was 89.0% for physicians, 98.3% for nurses, and 96.1% for patients. Conclusion: Most physicians, nurses, and even patients have inaccurate perceptions and inappropriate experience with informed consent.

• Industrial Engineering and Management Systems
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• v.12 no.4
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• pp.389-405
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• 2013

A facility layout design (FLD) problem can be generally introduced as assignment of facilities (departments) to a site such that a set of criteria are satisfied or some objectives are minimized (maximized). Hence, it can be considered as a multi-criteria problem due to the presence of qualitative criteria such as maintenance or flexibility and quantitative criteria such as the total cost of handling material. The VIKOR method was developed to solve multiple criteria decision making problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This paper proposes a hierarchical analytic hierarchy process (AHP) and VIKOR approach to solve the FLD problem. A computer-aided layout-planning tool is adopted to generate the facility layout problems, as well as their quantitative data. The qualitative performance measures are weighted by AHP. VIKOR is then used to solve the FLD problem. Finally, the proposed integrated procedure is applied to three real-time examples.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.107-117
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• 2011

The appearance of Web has brought an substantial revolution to all fields of society such knowledge management and business transaction as well as traditional information retrieval. In this paper, we propose an EFASIT(Extended Fuzzy AHP and SImilarity Technology) model considering the emotion analysis. And we combine the Extended Fuzzy AHP Method(EFAM) with SImilarity Technology(SIT) based on the domain corpus information in order to efficiently retrieve the document on the Web. The proposed the EFASIT model can generate the more definite rule according to integration of fuzzy knowledge of various decision-maker, and can give a help to decision-making, and confirms through the experiment.

• The Journal of the Korea Contents Association
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• v.4 no.3
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• pp.1-11
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• 2004

This study alms to perform Business Process Reengineering and to develop tourism statistics information system through the development of tourism statistics process design supporting tool. With this tool, we can manage tourism statistics systematic and integrated. Also it offers a tourism decision making supporting tool. Tourism statistics process design supporting tool consists of information provider, information maker, and information user. This tool can improve bossiness process, and rationalize system architecture. 49 business processes were designed and a database which connected with outside system was designed by this supporting tool. By these means, this tool provide more reasonable and effective decision making tool, when it comes to plan tourism development.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.738-743
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• 1991

A multiobjective analysis technique was applied for the optimum operation of pumps and reservoirs in service water transmission systems. Three major objectives were identified and assessed on the normally operating service water transmission systems. They are, 1) stability of pump operation; 2) economic point of view in minimizing the energy cost for pumping; 3) reliability in meeting the stochasticaly varying demands. The measures of these objectives were required times of pump on-offs in stability, required total energy cost in economics, and minimum required storage during the operating horizon in reliability. In order to find the best meeting solution to the decision maker, a set of non-dominated solutions which show the tradeoff relationships between the considering objectives were generated. The DM selects the best solution from this explicit tradeoff relationships using his heuristic decision rules or experience. The theory was verified by applying to the Kumi Service Water System. A combined technique of the ${\varepsilon}-constraint$ and the weighting methods was used to generate the nondominated solutions, and the dynamic programming algorithm was applied to find the optimal solution for the discretized multi-objective analysis problems.