• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.161-176
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• 2005

In a situation that ordinal preferences on multiattribute weights are captured, we present two solution approaches: an exact approach and an approximate method. The former, an exact solution approach via interaction with a decision-maker, pursues the progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights region. Subsequent interactive questions and responses, however, sometimes may not guarantee the best alternative or a complete rank order of a set of alternatives that the decision-maker desires to have. Approximate solution approaches, on the other hand, can be divided into three categories including surrogate weights methods, dominance value-based decision rules, and three classical decision rules. Their efficacies are evaluated in terms of choice accuracy via a simulation analysis. The simulation results indicate that a proposed hybrid approach, intended to combine an exact solution approach through interaction and a dominance value-based approach, is recommendable for aiding a decision making in a case that a final choice is seldom made at single step under attribute weights that are imprecisely specified beyond ordinal descriptions.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.1
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• pp.116-129
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• 2011

Purpose: The purpose of this study was to develop a computer decision making support system that enables nurses to utilize the computer in selecting the best decision for pain management for patients with dementia institutionalized in nursing homes. Methods: To formulate the protocol for the management of patients' pain, the researcher analyzed content of interviews with 30 nurses in three nursing homes and an expert group. A decision support computer program was formalized based on existing protocols. To evaluate the effectiveness and applicability of the system, analysis of data on patient pain management and nurse satisfaction with the system were done after the formalized decision support computer program was complete. Results: The decision support computer program for pain management for institutionalized patients with dementia was finalized after adjustments following the evaluation. Nurse satisfaction with the program was moderate. It also provided opportunity to reassess thinking about pain and pain management. Conclusions: The results indicate that this program provides nurses with useful knowledge for pain management in institutionalized patients with dementia and aids in decision making in nursing practice in nursing home.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7B
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• pp.1073-1080
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• 2010

Realization of e-Navigation for maritime safety has become a hot research topic of these years. There has been lots of requirements of the convergence of VTS and new IT technology for prevent maritime accident caused huge mount of damage such as environmental damage of oil spill, human life and property. This paper aims to design of an intelligent VTS system based on context awareness and aids to navigation structure. The proposed system provides timely decision supporting mechanism using by situation awareness, reasoning, risk management technology and also provides information of aids to navigation for secure navigation.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.327-331
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• 2009

In fuzzy logic, aggregating uncertainties is generally achieved by means of operators such as t-norms and t-conorms. However, existing aggregation operators have some disadvantages as follows : First, they are situation-independent. Thus, they may not be properly applied to dynamic aggregation process. Second, they do not give an intuitional sense to decision making process. To solve these problems, we propose a new $\varepsilon$-AMDA (Aggregation based on the fuzzy Multidimensional Decision Analysis) algorithm to reflect degrees of strength for option i (i = 1, 2, ..., n) in the decision making process. The $\varepsilon$-AMDA algorithm makes adaptive aggregation results between min (the most weakness for an option) and max (the most strength for an option) according to the values of the parameter representing degrees of strength for an option. In this respect, it may be applied to dynamic aggregation process. In addition, it provides a mechanism of the fuzzy multidimensional decision analysis for decision making, and gives an intuitional sense to decision making process. Thus, the proposed method aids the decision maker to get a suitable decision according to the degrees of strength for options (or alternatives).

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.229-232
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• 2003

This study discusses the strengths and weaknesses of MAUT, AHP, and PROMETHEE as multicriteria decision making aids with respect to their underlying assumptions and axioms, and suggest the usefulness and limitations of PROMETHEE as a outranking method. For the demonstration purpose, we provide a numerical example to evaluate 3 domestic life insurers using PROMETHEE.

• Journal of Korean Society of Transportation
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• v.4 no.2
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• pp.59-72
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• 1986

The purposes of this paper are to review the concept and system structure of computer graphics and to discuss the applicability of computer graphics technique as an analysis tool in transportation studies. To do this, several applications of computer graphics used for analyzing and solving transportation system problems were described and illustrated. The results indicate that computer graphics are found to be powerful aids to the analysis and design of transportation systems that typically involve large data bases and several interacting components. The results also indicate that computer graphics can be a powerful tool for aiding planner, decision maker and citizen in making it easier to explain and interpret information through mapping and graphic display.

• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.1-10
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• 2010

Web information systems have been utilized extensively over the past decade. The Internet allows for the entire sales cycle to be conducted on one medium, nearly instantaneously. From making the consumer aware of the product to providing additional information to transacting the final purchase, the Internet can accomplish them all. The Internet is like one big point-of-sales display, with easy access to products and the ability for impulse shopping. Here, we point out different aspects of information technology (IT) in marketing. Consequently, we propose two frameworks as decision aids in web-based marketing environment.

• Journal of Preventive Medicine and Public Health
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• v.50 no.4
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• pp.217-227
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• 2017

In terms of years of life lost to premature mortality, cancer imposes the highest burden in Korea. In order to reduce the burden of cancer, the Korean government has implemented cancer control programs aiming to reduce cancer incidence, to increase survival rates, and to decrease cancer mortality. However, these programs may paradoxically increase the cost burden. For examples, a cancer screening program for early detection could bring about over-diagnosis and over-treatment, and supplying medical services in a paternalistic manner could lead to defensive medicine or futile care. As a practical measure to reduce the cost burden of cancer, appropriate cancer care should be established. Ensuring appropriateness requires patient-doctor communication to ensure that utility values are shared and that autonomous decisions are made regarding medical services. Thus, strategies for reducing the cost burden of cancer through ensuring appropriate patient-centered care include introducing value-based medicine, conducting cost-utility studies, and developing patient decision aids.

• Journal of applied mathematics & informatics
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• v.40 no.3_4
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• pp.563-575
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• 2022

Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).

• Journal of The Korean Association For Science Education
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• v.19 no.1
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• pp.1-7
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• 1999

The purpose of this study was to survey the high school students' concern levels on decision-making problems based on biology, This study is a exploratory research to develop teaching strategies and curriculum of the common science for the enhancement of the students' decision-making ability in problems involved biological knowledges. The survey subjects were 101 first graders of the high school in Seoul area. The survey instrument developed was 5-point scale of Likert type consisted of 24 question items. The survey results showed that the concern level on selection of method for learning was the highest. The concern levels on selection of method for sports or diet which are the individual faced problems were high, and concern levels on the problems social issued such as decisions about standard for noise, pros and cons of approval for brain death or artificial abortion were high, too. The students' concern levels on problems individual context were significantly higher than concern levels on problems social context (p<0.01). The males' concern levels were higher than females' on 'AIDS', 'incinerator for rubbish', 'atomic power plant', 'protection policy for decreasing species', 'standard for noise' (p<0.05), And the males' concern levels were higher than females' on domain of 'ecosystem and environment pollution'. But the females had higher concern levels than males on 'diet' and 'surrogate mother' (p<0.05). The analyzed results were discussed in respects of implication for teaching strategies and curriculum.