• Korean Journal of Computational Design and Engineering
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• v.4 no.2
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• pp.100-109
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• 1999

The bearing design includes the steps of selection bering type, selection bearing subtype, and determining the peripheral equipments. In this paper decision making methodologies are compared to propose a stepwise decision methodology to the bearing selection problem. An artificial neural network trained with design cases is used for selecting a bearing type in the first step. Then the subtype of the bearing is selected using the weighting method, high is a kind of multi-criteria decision making method. Finally, the types of peripheral equipments such as lubrication devices, seals and bearing housings are determined using a rule-based expert system.

• Korean Journal of Construction Engineering and Management
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• v.4 no.1 s.13
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• pp.81-89
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• 2003

This research suggests the FD-AHP decision making model for Construction Projects which is composed of two main method to prevent a ranking invert situation ; First, to make the consensus of the experts consistent, we utilize Fuzzy-Delphi method to adjust the fuzzy rating of every expert to achive the consensus condition with the fuzzy linguistic presentation. Second, to handle vague linguistic presentation caused by expert's experiences and subjective judgement, we propose Fuzzy-AHP which is able to enhance precision of construction projects decision mating situation. Moreover, with the correlation analysis, we show that the validity of the FD-AHP model under a decision making task specially on where highly demanded expert's experiences and intuition.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.256-257
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• 2023

This paper aims to propose optimal method to assess and cumulate the daily profit for liner shipping to support the shipping lines in making optimal decision with the highest average daily profit. This paper not only explains the actual calculated results align with decision-makers' behavior from concepts indicated in cumulative prospect theory but also contributes to an easy-to-apply method for liner shipping network predictability in and provides optimal decision-making is helpful for shipping managers for the best effective selection of the most appropriate alternative under uncertainties.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.3
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• pp.357-367
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• 2011

Purpose: The purpose of this study was to examine the influence of decentralization, participation in decision making, job satisfaction on organizational commitment among hospital nurse managers. Method: The data were derived from the self-reported questionnaire responses of 198 nurse managers from January to March, 2006 at four general hospitals over 900 beds in Seoul and Gyungi province and analyzed by frequency and percentage, t-test, ANOVA and Sheffe's test and stepwise multiple regression. Result: Mean of decentralization was 3.53${\pm}$0.52, participation in decision making was 5.04${\pm}$0.83, job satisfaction 3.54${\pm}$0.48, and organizational commitment was 5.30${\pm}$0.76. There were significant differences between participation in decision-making and career of manager, field of practice, span of control, especially in staffing decision. A significant correlation was found between organizational commitment and decentralization (r=.22, p<.001), participation in decision making (r=.40, p<.001), job satisfaction (r=.64, p<.001). The job satisfaction has the highest significant predictor of organizational commitment ($R^2$=43%). Conclusions: Nursing managers' job satisfaction and organizational commitment will be promoted by granting participation in decision-making.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.2
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• pp.274-281
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• 2010

Purpose: The purpose of this study was to identify the correlation between level of professional autonomy and clinical decision making abilities in clinical nurses, and to provide basic information for promoting competency nurses in making independent decisions. Method: Data were collected from July 1 to July 18, 2008, and participants were 202 clinical nurses in general hospitals. Collected data were analyzed using descriptive statistics: frequency and percentage and Pearson correlation coefficients with the SPSS WIN 14.0 program. Results: The professional autonomy index for the nurses was 159.63 points. The clinical decision making ability index was 119.79 points. The most highly ranked factor in clinical decision making was search for information and unbiased assimilation of new information. There was a statistically significant difference in professional autonomy according to age, clinical experience, and type of duty. Relation between level of professional autonomy and clinical decision making showed a positive correlation. Conclusion: As a results show a significant correlation between professional autonomy and clinical decision making in clinical nurses, improvement in professional autonomy of clinical nurses, would be promoted through continuous support and training.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.237-246
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• 2020

this paper, a data modeling method based on decision-making conditions is proposed for making combat and battlefield management systems to be intelligent, which are also a decision-making support system. A picture of a robot seeing and perceiving like humans and arriving a point it wanted can be understood and be felt in body. However, we can't find an example of implementing a decision-making which is the most important element in human cognitive action. Although the agent arrives at a designated office instead of human, it doesn't support a decision of whether raising the market price is appropriate or doing a counter-attack is smart. After we reviewed a current situation and problem in control & command of military, in order to collect a big data for making a machine staff's advice to be possible, we propose a data modeling prototype based on decision-making conditions as a method to change a current control & command system. In addition, a decision-making tree method is applied as an example of the decision making that the reformed control & command system equipped with the proposed data modeling will do. This paper can contribute in giving us an insight of how a future AI decision-making staff approaches to us.

• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.12 no.2
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• pp.50-60
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• 2009

A spatial decision making process is needed when a local government tries to make polices and plans for eco-tourism in urban and regional site scale. This study aimed to suggest an assessment model to support spatial decision making on planning and making polices for eco-tourism. The model composes 6 stages of 'setting up ecogeographic territories'. 'value analysis method as ecotourism resources' 'synthetic assessing', 'grading values', 'selecting main resources for ecotourism' and 'spatial decision making support'. Applying the model to Shiheung city in Kyounggi province, validity was secured. By using the model, it was possible to make some decisions effectively such as selection of ecotourism resources, decision of the priorities of polices for ecotourism, and setting up the type of ecotourism to be introduced. In addition, by visualizing high valued resources and areas for ecotourism it w possible to support to make plans and policies effectively.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.5
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• pp.57-67
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• 2012

This paper presents the Multi Criteria Decision Making (MCDM) to evaluate water resources plan for agricultural reservoir. Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) and Analytic Hierarchy Process (AHP) were used to estimate weight and priority of alternatives to find out the most reasonable and efficient way of water resources assessment. The 6 criteria that both decision maker and beneficiary are satisfied have been identified to secure agricultural water resources and then the priority of 10 subcriteria was set. An enhanced PROMETHEE-AHP model was used to perform pairwise comparison and find out the priority of each alternative because the existing decision making model have uncertainty and ambiguity. Comparison analysis of decision making models was carried out to find a way of suitable decision making and validity of PROMETHEE-AHP model was suggested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.121-129
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• 2007

Recently a multi-attribute structure analysis method is one of the evident areas of important points in the decision support system analysis. This research developed an internet/intranet-based solution builder for a three-step decision support system using fuzzy-AHP in the view of 1) brainstorming far the idea generation, 2) fuzzy-AHP (fuzzy analytic hierarchy process) as a multi-attribute structured analysis method and 3) aggregation logic model to integrate the results of individual analysis. We applied this decision support system to the make-or-buy decision problem for school foodservice system considering the multi-attributes in the decision making. A computer program is developed and demonstrated it internet/intranet-based decision problem. It was known that this solution builder provides decision makers a good tool for mate-of-buy group decision making.