• 품질경영학회지
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• 제17권2호
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• pp.113-120
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• 1989

The purposes of this paper are to compare expert systems and decision support systems, and illustrate the possible benefits when expert systems are integrated into the model base of a decision support systems for supporting decision-makers. Integrating expert systems capability into decision support systems may enhance the quality and efficiency of both computerized systems. This integration can improve selection of model, analysis, model management, judgement, and modeling. Thus the results are much more powerful decision support systems than are presently available.

• 지식경영연구
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• 제22권2호
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• pp.189-208
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• 2021

이 연구의 목적은 교육서비스품질(교수자서비스품질, 교육과정서비스품질)이 진로결정자기효능감과 진로결정수준 및 진로준비행동에 미치는 영향을 규명하는 것이다. 최종 유효 설문지 426부에 대해 타당성 검정 후, 측정모형분석(CFA)과 구조모형분석(SEM) 그리고 다중집단 분석(MCFA와 MSEM)을 실시하였다. 연구결과를 요약하면 다음과 같다. 첫째, 교육서비스품질(교수자서비스품질, 교육과정서비스품질)은 진로결정자기효능감에 정의 유의한 영향을 미쳤다. 둘째, 진로결정자기효능감은 진로결정수준과 진로준비행동에 정의 유의한 영향을 미쳤다. 셋째, 진로결정수준은 진로준비행동에 정의 유의한 영향을 미쳤다. 마지막으로, 신입생과 재학생의 차이는 교육서비스품질(교수자서비스품질, 교육과정서비스품질)과 진로결정자기효능감, 진로결정수준, 진로준비행동 간의 관계에 조절효과가 있는 것으로 나타났다. 본 연구는 대학생의 진로에 있어 진로결정수준과 진로준비행동의 결정요인을 파악하여 제공함으로써 대학 진로 교육 개선에 유용한 기초자료로 활용할 수 있을 것이다.

• Imaging Science in Dentistry
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• 제36권1호
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• pp.1-5
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• 2006

During the diagnostic process of the various oral and maxillofacial lesions, we should consider the following: 'When should we order diagnostic tests? What tests should be ordered? How should we interpret the results clinically? And how should we use this frequently imperfect information to make optimal medical decisions?' For the clinicians to make proper judgement, several decision making tools are suggested. This article discusses the concept of the diagnostic accuracy (sensitivity and specificity values) with several decision making tools such as decision matrix, ROC analysis and Bayesian analysis. The article also explain the introductory concept of ORAD program.

• 한국의료질향상학회지
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• 제8권2호
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2004년도 학술발표논문집
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• pp.105-110
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• 2004

Decision Analysis(DA) using Value Focused Thinking(VFT) can be an excellent process to deal with hard decisions. The intent of this research is to provide better understanding of the United States Air Force(USAF) officer retention problem. This thesis effort involves building a VFT model to find out more effective alternatives in retaining pilots and non pilots. This model, in conjunction with the results of the post analysis, shows an example of the application of a VFT approach to the USAF officer retention problem.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2010년도 추계학술대회
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1996년도 추계학술대회논문집
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• pp.181-184
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• 1996

Fuzzy hierarchical analysis(FHA) has the usefulness to allow decision maker's ambiguities when comparing two alternatives. But, for easiuly appling it to a decision problem, the handling its many data and for decision makers much not knowing fuzzy theory are the obstacles to must be overcomed even if the results of final fuzzy weights can be computed by a personal computer. This paper decribes that FHA is revised, and input/output interfaces are developed to collect input data easily and interprete the fuzzy resultlts. Finally, a fuzzy decision process is suggested with them.

• 한국의료질향상학회지
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• 제24권1호
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• pp.40-52
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• 2018

Purpose: This study aimed to identify the factors influencing on patients' participation in their treatment decision making, and influences of patients' experience on their health status. Methods: Data from the 2015 Korea National Health and Nutrition Examination Survey were used for the analysis. Multivariate logistic regression analysis was conducted to identify the factors influencing on patients' participation in their treatment decision making. The influences of patients' experience on their health status were analyzed using multiple linear regression analysis. Results: Of the 4,497 respondents, 3,698 (82.2%) respondents mostly participated in their treatment decision making. Those who experienced enough visit duration, physicians' explanation easy enough to understand, or more opportunities to ask were more likely to participate in their treatment decision making. After controlling for their sociodemographic factors and health status, those who had better experience during the outpatient visits were more likely to have better self-rated health or quality of life. Conclusion: To improve patients' health outcomes and satisfaction of health care uses, it is necessary to provide better experiences and expand the opportunities for participation in treatment decision making during their hospital visits.

• 한국의류학회지
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• 제32권5호
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• pp.766-776
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• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2010년도 학술발표회
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• pp.798-802
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• 2010

The integration of GIS and fuzzy MCDA(Multi-Criteria Decision Analysis) allows the engineer to determine the preferred alternative for each spatial location in the study area. The next step is to recommend to the final decision makers a single flood management alternative for the entire region. Note that if the study area is large, it might be possible to use the kind of information to recommend different alternatives for different portions of the region. However, for this study it is assumed that only a single alternative will be used. In this study, a "cost of uniformity" metric is proposed that allows decision makers to compute the impact of selecting a single alternative for the entire floodplain. This metric represents the increase in the average distance metric value as compared to the spatially diverse solution from the MCDA and GIS analysis. The results could be applied to any region of the floodplain as desired. Whether the decision makers decide to apply these calculations to the entire floodplain or to specific important regions within the floodplain, an analysis of the increases in the cost of uniformity provides an integrated way for the decision maker to rank the alternatives. This should provide an improvement in their engineering analysis.