• Journal of Korean Society of Transportation
• /
• v.20 no.1
• /
• pp.55-63
• /
• 2002

It has been known well that Traffic Conflict Technique(TCT) used to evaluate the safety of intersections in the case of shortage of traffic accidents data and surveying time. Because data for using in traffic conflict technique that is collected by trained surveyors, it is rely on the knowledge, experience and the characteristics of them. The data of surveying generate varying result. So, its variance must minimize and then it is considered of calculating in traffic conflict technique however obviously technique to minimize has not developed until now. So, this paper has a focus on the technical method to minimize the variance. For this, it applied the fuzzy reasoning theory to the existed traffic conflict technique that is the most comprehensive method in the country and then developed the new traffic conflict technique model. Fuzzy reasoning theory is a very appropriate method for minimizing the variance among surveyors because it can systematically calculate the uncertainty of surveyors by approximation reasoning structure. The result of analysis from pilot study, the new Procedure in this Paper minimized the variance by 53 Percentiles and it increased the value of conversion factor two times than the exited traffic conflict technique. The method proposed in this paper, it can be used for evaluating the safety of intersection, and before and after analysis of improving Project of black spots.

• Journal of Korea Port Economic Association
• /
• v.26 no.3
• /
• pp.221-239
• /
• 2010

This study aims to provide solutions concerned with to residential moving companies about their operational problems. In order to shed light on these problem, factor analysis and fuzzy AHP method are adopted. Selected factors are low quality of workers and equipments, weak condition of business, policy and form of a contract, and excessive competition. The results of survey show that excessive competition is the most urgent problem compared with other problems. In the twelve-measured variables, The problem of non-certificated firms, low service quality caused by excessive competition, and claims caused by lack of service instruction are chosen as the urgent matters. As a result of the analyses, the study would propose policy directions how to solve these problems. Firstly, the government should make the legal basis of operating the industry because there is too competitive in the field. Secondly, the government should regulate firms which have not a certificate because they are the cause of low service quality in the field. Thirdly, in order to improve the service quality, the study would suggest that the managers should instruct the workers of residential moving companies. Lastly, the paper would suggest that customers check the certificate of the firm allowed by the government authorities.

• Journal of Digital Convergence
• /
• v.14 no.11
• /
• pp.91-100
• /
• 2016

The purpose of this study was to draw out success factors of port operation for New International Passenger Terminal(NIPT) in Incheon Port using the fuzzy method. In this study, the success factors of port operation were firstly selected by literature review and finally adopted them by in-depth interview with experts who had working experiences over 15 years in the field of Korea-China Carferry shipping business and stevedoring business. Success factors of port operation of the NIPT have been classified into four principal factors such as 'land's use side', 'productivity side', 'cost side' and 'services side', and the comparative analysis was conducted among success factors of port operation. According to the results of analysis, in terms of "land's use side", securing CY space of full-empty containers(0.857) was the most important factor. Among detailed factors of "productivity side", building terminal automation system(0.806) was significantly needed. In the factors of "cost side" and "service side", land rental costs(0.861) and schedule management of berth operation(0.798) were selected as the most important factors. Consequently, new international passenger terminal has implications that the main port operations should focus on reasonable rents calculation, ensuring proper space of CY, and building automation system of terminal, There is a need to proceed to conduct a comparative study of the same operating mode of an international passenger terminal.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.42 no.6
• /
• pp.111-123
• /
• 2014

The city square is an important public open space for people. Being used for various activities, such as community gatherings, open markets, concerts, political rallies, and other events, many types of city squares are represented in a city. Nevertheless, most city squares are planned uniformly, lacking consideration for visitor behavior and use satisfaction. The study investigated the design factors and subcomponents influencing user satisfaction with different types of city squares. This study focused on the general city square in Seoul, including the grand public place (i.e. Gwanghwamun Square) and the neighborhood park (i.e. Geumbit Square). The data were analyzed using factor analysis, linear regression and fuzzy theory. The results of the study are as follows: first, five design factors of satisfaction with city squares are identified (Amenity, Usability, Spatial components, Culture, and Comfortableness). Second, Amenity, Comfortableness, and spatial components significantly affect user satisfaction with Gwanghwamun in that order. On the other hand, in Geumbit Square, Comfortableness, Amenity, Usability and Spatial components affect user satisfaction in a significant way, in that order. Third, cleanliness, a subcomponent of amenity, was ranked highest using the fuzzy theory function for satisfaction with Gwanghwamun Square. Otherwise, the prevalence of plants was ranked the highest on the Geumbit Square survey. The study compared design factors influencing satisfaction in the public grand place and the neighborhood park. The results have implications for designing and planning city squares to the satisfaction of their visitors.

• Knowledge Management Research
• /
• v.22 no.3
• /
• pp.235-252
• /
• 2021

The development of information and communication technology and COVID-19 have caused an unusual change in the hotel industry, and the demand for the contactless services such as service robots from hotel customers has surged. Therefore, this study investigates the perception of hotel customers on contactless services by applying a mixed-method analysis. Specifically, this study identified the causal correlations between variables through the structural equation model, and further applied the fuzzy set qualitative comparison analysis to derive patterns of variables that form the intention to use the non-face-to-face services. As a result of the analysis, it was shown that service experience co-creation, palyfulness, personalization, and trust had a significant effect on intention to use through the contactless service use desire. On the other hand, in the results of fuzzy-set qualitative comparison analysis, playfulness was derived as a core factor in all patterns. Based on these analysis results, this study provides academic basis for in-depth understanding of hotel customers' perception of contactless service and specific guidelines for hotel managers on the contactless service strategies in the era of COVID-19 pandemic.

• Proceedings of KOSOMES biannual meeting
• /
• 2003.05a
• /
• pp.59-67
• /
• 2003

The prevention of marine accidents has been a major topic in marine society for long time and various safety policies and Countermeasures have been developed and applied to prevent those accidents. In spite of these efforts, however significant marine accidents have taken place intermittently. Ship is being operated under a highly dynamic environments and many factors are related with ship's collision and those factors are interacting. So, the analysis on ship's collision causes are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that ‘ship's collision’ is occurred most frequently and the cause is closely related with human factor. The main purpose of this study is to propose risk control countermeasures of ship's collision. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision. FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the causes of ship's collision using FSM are performed. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and reduce marine accidents.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.9 no.1
• /
• pp.51-56
• /
• 2003

The prevention of marine accidents has been a major topic in marine society for long time and various safety policies and Countermeasures have been developed and applied to prevent those accidents. In spite of these efforts, however significant marine accidents have taken place intermittently. Ship is being operated under a highly dynamic environments and many factors are related with ship's collision and those factors are interacting. So, the analysis on ship's collision rouses are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that ‘ship's collision’ is occurred most frequently and the cause is closely related with human factor. The main purpose if this study is to propose risk control countermeasures of ship's collision. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the rouses of ship's collision using FSM are performed. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and to reduce marine accidents.

• Journal of Digital Convergence
• /
• v.18 no.5
• /
• pp.169-178
• /
• 2020

The selection of a third-party logistics (3PL) provider is a critical process for shippers who want to receive competitive logistics service. However, studies analyzing the factors that influence the selection of 3PL provider from the viewpoint of shippers are insufficient. The present study aims to derive factors to be considered when selecting a 3PL provider by domestic shippers and to present the weights of each factor. The analysis results showed that among the major factors, the "operation factor" showed the highest importance, followed by "strategic factor", and "communication factor". The results of compound weights showed that "cost reduction" is the most important factor, followed by the "expertise of the provider", "inventory management ability", and "human resources management". The present study proposed the core factors that should be considered when selecting a 3PL provider from the shipper's viewpoint. This study also has an industrial implication from the viewpoint of 3PL providers because it provides the basic data for enhancing the shipper's satisfaction by reinforcing the factors that are considered important in by shippers. In future research, it is necessary to classify shippers by industry and analyze the differences in the factors that arise in selecting 3PL companies for each industry.

• KIISE Transactions on Computing Practices
• /
• v.22 no.12
• /
• pp.681-686
• /
• 2016

Software defect prediction is an important factor in efficient project management and success. The severity of the defect usually determines the degree to which the project is affected. However, existing studies focus only on the presence or absence of a defect and not the severity of defect. In this study, we proposed an ensemble model using FCM based on defect severity. The severity of the defect of NASA data set's PC4 was reclassified. To select the input column that affected the severity of the defect, we extracted the important defect factor of the data set using Random Forest (RF). We evaluated the performance of the model by changing the parameters in the 10-fold cross-validation. The evaluation results were as follows. First, defect severities were reclassified from 58, 40, 80 to 30, 20, 128. Second, BRANCH_COUNT was an important input column for the degree of severity in terms of accuracy and node impurities. Third, smaller tree number led to more variables for good performance.

• The KIPS Transactions:PartB
• /
• v.12B no.2 s.98
• /
• pp.123-130
• /
• 2005

In this paper, fingerprint identification algorithm using pixel direction factor in blocks is proposed to minimize false acceptance ratio and to apply security system. The proposed algorithm is that a fingerprint image is divided by 16 blocks, then feature parameters which have direct factors of $0^{\circ},\;45^{\circ},\;90^{\circ}\;and\;135^{\circ}$ is extracted for each block. Membership function of a reference fingerprint and an input fingerprint for the extracted parameters is calculated, then identification of two fingerprint is distinguished using fuzzy inference. False acceptance ratio is evaluated about different fingerprints of In kinds regardless of sex and shape which are obtained from adults, and false rejection ratio is evaluated about fingerprints which are obtained by adding fingerprints of 10 kinds on different fingerprints of 100 kinds. The experiment results is that false acceptance ratio is average $0.34\%$ about experiment of 4,950 times, and false rejection ratio is average $3.7\%$ about experiment of 1,000 times. The proposed algerian is excellent for recognition rate and security.