• Journal of the Korea Safety Management & Science
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• v.3 no.2
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• pp.113-121
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• 2001

Today, facilities are composed of many complex components or parts. Because of this characteristics, the frequency of failures is decreasing, but the strength of failures is increasing; therefore, the failure analysis about many complex components or parts was needed. In the former research about Fault Tree Analysis, failure data of similar facilities have been used for forecasting about target system or components, but in case that the system or components for forecasting failure is new or qualitative and quantitative data are given simultaneously, there are many difficulty in using Fault Tree Analysis with this incorrect failure data. Therefore, this paper deal with the Fault Tree Analysis method which be applied with Fuzzy theory in above case. In case that , therefore, if there is no the correct failure data, it is represented a system or components as qualitative variable. subsequently, it converted to the quantitative value using fuzzy theory, and the values used as the value for failure forecast.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.870-877
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• 2006

Recently, failures of equipments are linked directly to extensive damages of human lives or financial losses from the increasing uses of train control equipments utilizing computers. Then safety activities have to progress for guaranteeing safety during the system life-cycle. In this paper, we examine the methods for risk analysis and assessment of safety activities and propose optimized one method for risk assessment. There are original risk assessment methods; risk graph and risk matrix method under the qualitative analysis, IRF(Individual Risk Formula) calculations and statistical calculations method under the quantitative analysis. Best-Practice(BP) risk analysis method is proposed for combining advantages of the qualitative and the quantitative analysis. In the comparison of risk graph and risk matrix method for safety estimation, BP method has no applications published up to now, but we can expect that this method will be utilized widely for the risk assessment due to various strong points.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.188-195
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• 2016

Human resource management (HRM) deals with essentially complex human phenomena and multiple interactive relationships. Thus, the use of quantitative data to research and understand HRM is necessarily limited. Although important qualitative issues in HRM research are often central to supporting or creating a firm's competitive advantage, they are frequently neglected. Research into HRM is increasingly difficult and complicated, therefore, it is very difficult to research through strict quantitative methods. This paper's focus is to develop an effective idea for applying qualitative research approaches to HRM studies. A justification of a qualitative approach is considered as being a superior means for researching HRM issues. The underlying foundation of this paper is that new problems are confronted HRM research, therefore, qualitative research methods will be necessary. It is suggested that quantitative analysis in understanding and explaining firm's HRM is not sufficient and a qualitative may provide the indepth insight into HR researches.

• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.27-38
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• 2011

Purpose that studies the war history is to prevent the war in the advance through instruction that is gotten by understanding the past war and in case of emergency, it is to win victory in the war from the enemy by doing not commit a same mistake like the past war. For these reasons, many studies about the war history have proceeded continuously in domestic and outside the country, and those are being carried out in present. However, most of studies of the war history have been analyzed only on qualitative analysis. In this study, we want to suggest quantitative analysis method using simulation with qualitative analysis. As an example of study, we quantitatively analyzed the importance of logistics support on the Moscow expedition of Napoleon. Also, on the basis of this, we found failure factor of logistics support of Napoleon force and through this, deduced instruction. There is meaning that this paper suggested quantitative analytical method in terms of study of the war history with qualitative analytical method.

• The Korean Journal of Malacology
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• v.26 no.3
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• pp.245-254
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• 2010

For the studies of germ cell development and maturation in the ovary, the gametogenic cycle and the number of spawning seasons per year in female Ruditapes philippinarum were investigated by quantitative statistical analysis using an Image Analyzer System. Compared with the results by qualitative and quantitative analyses, monthly variations in female gonad indice by qualitative histological analysis showed a pattern similar to that of the female gametogenic cycle calculated by quantitative statistical analysis. The number of spawning seasons occurred once per year, from June to October. In quantitative statistical analysis using an image analyzer system, monthly changes in the portions (%) of the ovary area to total tissue areas in females increased in March and reached a maximum in May, and then showed a rapid decrease from June to October when spawning occurred. And also monthly changes in portions (%) of follicle areas to the ovary area and in portions of oocyte areas to ovarian tissue areas in females began to increase in March and reached a maximum in May, and then. rapidly dropped from June to October when spawnig occurred. From these data, it is apparent that the number of spawning seasons occurred once per year, from June to October. Monthly changes in the number of the oocyte per $mm^2$ and in mean diameter of the oocyte in captured image which were calculated for each female slide showed a maximum in May and reached the minimum from December to February. Therefore, female R. philippinarum showed a unimodal gametogenic cycle during the year.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.69-77
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• 2008

This article proposes new method for estimating pedestrian quality of service(QOS) that is useful to changing pedestrian environment by examining pedestrian quality of service as well as developing new method that integrate qualitative variables into the estimating indicators for the pedestrian movement right. Based on survey questionnaire addressed to experts group, the obtained data for the indicators were analyzed through Analytic Hierarchy Process(AHP). The results show that pedestrian traffic flow(quantitative figure: 52%), sidewalk geometric(quantitative figure: 16%), sidewalk usage behavior(qualitative figure: 11%) in commercial and business zone pointed out the importance of quantitative indicators such as pedestrian traffic flow, and sidewalk geometric. In addition, the results also show that pedestrian traffic flow(quantitative figure: 30%), sidewalk geometric(quantitative figure : 22%), sidewalk usage behavior(qualitative figure: 20%) indicate the significance of qualitative indicators such as pedestrian's sidewalk usage.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.spc1
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• pp.146-154
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• 2004

• Journal of Information Processing Systems
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• v.12 no.1
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• pp.109-128
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• 2016

This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components whose weights are determined by the receiver operating characteristic (ROC) curve. The proposed procedure was applied to real data sets from Chinese listed firms. For performance comparison, single ES, LR, and SVM methods, the combined forecasting method based on equal weights (CFBEWs), the combined forecasting method based on neural networks (CFBNNs), and the combined forecasting method based on rough sets and the D-S theory (CFBRSDS) were also included in the empirical experiment. CFBSS obtains the highest forecasting accuracy and the second-best forecasting stability. The empirical results demonstrate the superior forecasting performance of our method in terms of accuracy and stability.

• Structural Engineering and Mechanics
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• v.71 no.1
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• pp.65-75
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• 2019

In this article, the dynamic fracture instability characteristics, including dynamic crack propagation and crack branching, in PMMA brittle solids under dynamic loading are investigated using the discrete element method (DEM) simulations. The microscopic parameters in DEM are first calibrated using the comparison with the previous experimental results not only in the field of qualitative analysis, but also in the field of quantitative analysis. The calibrating process illustrates that the selected microscopic parameters in DEM are suitable to effectively and accurately simulate dynamic fracture process in PMMA brittle solids subjected to dynamic loads. The typical dynamic fracture behaviors of solids under dynamic loading are then reproduced by DEM. Compared with the previous experimental and numerical results, the present numerical results are in good agreement with the existing ones not only in the field of qualitative analysis, but also in the field of quantitative analysis. Furthermore, effects of dynamic loading magnitude, offset distance of the initial crack and initial crack length on dynamic fracture behaviors are numerically discussed.

• Journal of Korean Academy of Nursing
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• v.26 no.2
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• pp.497-506
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• 1996

Gradually, there has been increase in the use of qualitative research methods in nursing research. Nursing scholars are using qualitative research methods to explore the essence of nursing and discover its meaning. However, there has been lack of standards for evaluating qualitative nursing research. Often nursing researchers are applying quantitative research evaluation standards to qualitative nursing research. Thus, there has not been any notable qualitative research done to date. In order to improve the quality of nursing research done to discover new knowledge for the nursing, ＆ for development of nursing theory, criteria for critiquing qualitative research should be established. Therefore, this researcher introduced standards as criteria for critiquing qualitative research which are based on literature reviews and re search experiences. The suggested criteria are developed several question's as follows : 1) description of the research phenomena, 2) significance, 3) research purpose, 4) research question, 5) assumptions, 6) researcher's abilities, 7) selection of research samples, 8) data collection, 9) human subjects, 10) data analysis, 11) description of researcher's results, 12) literature review. Follow-up of concrete questions for each of the criterias have been developed.