• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.33-36
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• 2000

Recently, in the shipping companies have been employing prudently in order to prevent from sea accidents occurred by human factors. Also the students of merchant marine universities are choosing prudently the shipping companies when taking a job. But many qualitative and quantitative factors are considered in decision making for the employment. FSM(Fuzzy Structural Modeling) has been widely used in modeling the system composed of such qualitative and quantitative factor. In this paper, a case study is discussed for the analysis of the consciousness of the employment of shipping companies using FSM. Also this paper proposed the planes for educating and recruitment guiding the student in maritime university.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.41-53
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• 2009

The purposes of this study are to search for counselor's change process and factors in Theraplay, and to explore how they are changed into experts. This study used a method of qualitative study to reveal a concrete context of child counseling. The results are as follows. Therapist or counselor subjects realized that therapy(counseling) was not focusing on activities, but on meanings. In the beginning, therapist subjects acted according to the situation rather than according to the child's reactions and their own strategy. It was expressed into long and boring explanations, trials to flatter a child. Therapist subjects were often depressed because of their incompetence, they even did overpraise for the undistinguished behavior of children, but gradually they have changed into expert therapists through ceaseless interaction with Theraplay community, reflection, trial and practice.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.402-408
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• 2010

Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.614-619
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• 2007

The purpose of this study is to develop a LCC analysis model for selecting railroad bridge type as both of quantitative and qualitative factors to increase the effectiveness in the selecting design alternatives and is to select the optimum alternatives through a case study. This LCC analysis model adapts deterministic and probabilistic approach for increasing the reliability and includes AHP analysis considering the qualitative factors.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.153-160
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• 2001

The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. To do so, we suggest a business performance scheme which utilizes VA per Capita (Value- Added/Workers) and EVA to Invested Capital(Economic Value-Added /Invested Capital). For effective measurement of business performance, we consider simultaneously not only quantitative financial factors such as VA, EVA and cash flow but also qualitative value drivers such as defect ratio, inventory level, customer satisfaction, enterprise culture and so on. However, we don't consider the qualitative factors due to the limited data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.436-442
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• 2005

The purpose of this study is to develop indices and a scoring method for effectively evaluating the project of rural well-longevity villages which makes up for insufficient parts of existing projects on improving settlement foundation and production environment. Evaluating indices include qualitative factors originated from the characteristics of the project so a scoring method based on an information measure technique is used for evaluating the results from each village. Evaluating indices are provided differently depending on each purpose for evaluation. Result indices can be used for ranking project villages and fundamental indices can be used to analyze villages elaborately to improve project plans.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.488-493
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• 2005

Railload line design of the railroad construction project should be planed considering the variety of quantitative and qualitative factors, and needs to be selected the optimum altinative weighing from VE/LCC analysis of the planned design. The purpose of this research is for showing selecting plan of the optimum railload line and railway bridge applying VE/LCC analysis in selecting the optimum altinative of railroad construction based on quantitative and qualitative factors, such as initial construction cost, maintenance cost, owner and user's requirements. In this research showed the application plan by each stage using data analysis, function analysis, and alternative evaluation of VE/LCC analysis with AHP and LCC analysis program for the selection. This research is proved the rationality and application of the course of selecting the optimum alternative through case application

• Journal of the Korean Institute of Navigation
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• v.24 no.1
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• pp.35-45
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• 2000

Recently, in the shipping companies have been employing prudently in order to prevent from sea accidents occurred by human factors. Also the students of merchant marine universities are choosing prudently the shipping companies when taking a job. But many qualitative and quantitative factors are considered in decision making for the employment and the choice of a company. FSM(Fuzzy Structural Modeling) has been widely used in modeling the system composed of such qualitative and quantitative factor. In this paper, a case study is discussed for the analysis of the consciousness of the employment of shining companies and students' choice of such company in maritime university using FSM. Also this paper proposed the planes for educating and recruitment guiding the student in maritime university.

• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.13-27
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• 2018

This study aims to explore and identify factors of respondent's on the definition of 'smart community facilities', their usage and satisfaction in Malaysia. Study carried out in four sites which were Kota Belud, Kemaman, Lundu and Putrajaya. Data was collected through qualitative method where interviews was carried out with several smart community members in answering factors that drives the usage/participation, satisfaction and continuance intention from using the 'smart community facilities'. Interpretation from the qualitative approach reveals that community thinks infrastructure, content and digital services will help to generate and build up 'smart community'. This will give the benefit for the whole community as well as improve individual efficiency, lifestyles and well-being. Findings demonstrated that the advance of Internet will enhance people usage on being 'smart' and efficient and it should be further improved with better infrastructures, systematic development with sophisticated digital technology services, facilities and structured content, and also safety-security measures in place.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.366-370
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• 2005

The construction environment is dynamic in nature and is characterized by various degrees of uncertainties. The uncertainties such as lack of coordination, non availability of resources, condition of temporary structures and varying weather conditions have a significant impact on estimating the duration of activities. These are subjective, vague and imprecisely defined and are expressed in subjective measures rather than mathematical terms. Conventionally, various quantitative techniques such as CPM and PERT have emerged in construction industry. These techniques cannot solve the above problems and rely on human experts which may not always be possible. In such situations Artificial Intelligence tools such as fuzzy sets and neural networks handle such variables and provide global strategies. The present paper evaluates the effect of qualitative factors to identify the activity duration using new intelligent approach. The results are compared with conventional methods for effective project management. A case study is considered to demonstrate the applicability of fuzzy logic for project scheduling.