• Korea Journal of Hospital Management
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• v.6 no.3
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• pp.90-108
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• 2001

This research examines the compensation package maximizing the utilities of internal customers by applying the market segmentation theory. Data were collected from four Korean hospitals in Seoul, Pusan and Kyunggi-do. The research is designed to seek the compensation package maximizing the utility of doctors and nurses by applying the market segmentation theory. The compensation package for doctors and nurses was classified into 5 attributes which are level of salary, payment method, education, promotion, reward method. The test results were as follows. First, the relative importance of each attribute in the compensation package is different. The level of salary is the most important, reward method is the next. Second, the utility of doctors increases by 8.7%, when they are segmented on the basis. of their preference for compensation attributes while that of nurses increases by 39.8%. The results of this study imply that the utility of doctors and nurses increases with differentiated compensation package for internal customer segmented by their preference.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.2
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• pp.183-190
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• 2007

We present a new decision tree classification algorithm using rough set theory that can induce classification rules, the construction of which is based on core attributes and relationship between objects. Although decision trees have been widely used in machine learning and artificial intelligence, little research has focused on improving classification quality. We propose a new decision tree construction algorithm that can be simplified and provides an improved classification quality. We also compare the new algorithm with the ID3 algorithm in terms of the number of rules.

• Journal of Korea Water Resources Association
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• v.44 no.8
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• pp.629-637
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• 2011

This study tried to estimate the environmental value of Youngsan river estuary as there are conflicts on the management policy about Youngsan river estuary. For estimating the detailed functional values of Youngsan river estuary, this study used the contingent valuation method with multi attribute utility theory for. In addition, the survey was separately practiced to on-site and off-site. According to estimating results, the annual value of Youngsan river estuary is about 27.4 billion Korean won. The results of this study are expected to contribute to determine the appropriate level of investment and management policies with regard to the estuary and to provide methodological guidelines for follow-up study.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.249-273
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• 2004

Finding an optimal solution in MADN[(Multi-Attribute Decision-Making) problems is difficult, when the number of alternatives, or that of attributes is relatively large Most of the existing mathematical approaches arrive at a final solution on the basis of many unrealistic assumptions, without reflecting the decision-maker's preference structure exactly. In this paper we suggest a model that helps us find a group consensus without assessing these parameters in specific cardinal values. Therefore, This research provides a comprehensive Decision Making of the theory and methods applicable to the analysis of decisions that involve risk and multiple criteria attributes. after, The emphasis of the procedure will be on developments from the fields of decisions analysis and utility theory of Taguchi Method. This theoretical development will be illustrated through the discussion of several real-world application and a case study. When the multiple number of decision makers are involved in the decision making procedure, the problem of uncertainties invariably occurs, because of the different views between them. In this paper, New decision making model using Taguchi Method is applied to effectively model the multi-attribute-decision making(MADM) procedure in the uncertainties dominated two area(quantitative and qualitative factors), Quantitative factors evaluation is used Loss Function of Taguchi, qualitative factors evaluation is used 50 ratio by each specialist. thus it can be used for aiding of preferable alternative. as a result, We will be proved efficiency about New decision making model of applied Taguchi Method with Analytical presentation of all the expecting outcomes when a specific strategy or an alternative plan is selected under expecting future environment.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.419-424
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• 2020

The purpose of this study is to find out whether changed interactions due to reformatting has a significant effect on the play attribute of children's play from an instrumental point of view. Based on the study of Roser Caillois theory of play (Agon, Mimicry, Area, Ilinx) and previous studies, a questionnaire was written and experimental design was carried out through brick stack which are most preferred in the whole development of children. Brick stack were selected from physical and electronic spaces and the survey was conducted with children's experiences by dividing into experimental group and comparative group. Correlation and T-test results, the brick stack by reformating showed significant difference in the play attributes (Agon, Mimicry, Area, Ilinx) of Rose Caillois and we found that the effectiveness of play is doubled in the electronic space. Play properties evenly distributed in electronic space brick stacking suggest that pleasure and fun can double.

• Korea Journal of Hospital Management
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• v.18 no.1
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• pp.18-41
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• 2013

This study was aimed to identify the current status of medical service quality of medical institutes; propose improvements; and find out the impact of medical service quality by its attribute on overall customer satisfaction. The research was conducted on the out-patients and in-patients in a high-level general hospital located in A city. To examine the research, the IPA was utilized to identify the priority requirements for improving the medical service quality. The study also applied an extended theory to the analysis on mismatch between the level of satisfaction and importance recognized by the clients, to examine the impact of the above mentioned factors on the overall satisfaction and intention to revisit and recommend the hospital. For out-patients, the result showed that "hospital hygiene" had a positive and negative impact on the clients' intention to revisit the hospital in priority improvements. In terms of the sustainable improvements, "doctor's skill" had a negative impact on the overall service satisfaction, whereas "state-of-the-art facility" and "nurse's instruction" had a positive impact on the intention to revisit the hospital. In long-term improvements,"complaint remedy" had a positive impact on the intention to recommend the hospital but there were no relevant factors in excessive investment. On the other hand, for in-patients, the result demonstrated that there were no relevant factors in priority improvements and sustainable improvements. The factor of"service procedure speed"had a positive as well as negative impact on the intention to revisit the hospital. In excessive investment,"nurse's empathy"had a positive impact on the intention to recommend the hospital.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1541-1549
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• 1997

Many classification algorithms require that training examples contain only discrete values. In order to use these algorithms when some attributes have continuous numeric values, the numeric attributes must be converted into discrete ones. This paper describes a new way of discretizing numeric values using information theory. Our method is context-sensitive in the sense that it takes into account the value of the target attribute. The amount of information each interval gives to the target attribute is measured using Hellinger divergence, and the interval boundaries are decided so that each interval contains as equal amount of information as possible. In order to compare our discretization method with some current discretization methods, several popular classification data sets are selected for experiment. We use back propagation algorithm and ID3 as classification tools to compare the accuracy of our discretization method with that of other methods.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.47-54
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• 2014

Based on the indiscernible relation of rough set, the inevitability of superposition and inconsistency of data makes the reduction of attributes very important in information system. Rough set has difficulty in the difference of attribute reduction between consistent and inconsistent information system. In this paper, we propose the new uncertainty measure and attribute reduction algorithm by Bayesian posterior probability for correlation analysis between condition and decision attributes. We compare the proposed method and the conditional information entropy to address the uncertainty of inconsistent information system. As the result, our method has more accuracy than conditional information entropy in dealing with uncertainty via mutual information of condition and decision attributes of information system.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.2
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• pp.55-63
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• 2014

Fractures and wrinkles are two major defects frequently found in the sheet metal forming process. The process has several noise factors that cannot be ignored when determining the optimal process conditions. Therefore, without any countermeasures against noise, attempts to reduce defects through optimal design methods have often led to failure. In this study, a new and robust design methodology that can reduce the possibility of formation of fractures and wrinkles is presented using decision-making theory. A two-attribute value function is presented to form the design metric for the sheet metal forming process. A modified complex method is adopted to isolate the optimal robust design variables. One of the major limitations of the traditional robust design methodology, which is based on an orthogonal array experiment, is that the values of the optimal design variables have to coincide with one of the experimental levels. As this restriction is eliminated in the complex method, a better solution can be expected. The procedure of the proposed method is illustrated through a robust design of the sheet metal forming process of a side member of an automobile body.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.245-265
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• 1999

MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.