• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.3
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• pp.171-177
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• 2013

This paper presents a fuzzy set method to enforce complementarity constraints (CCs) in a nonlinear interior point method (NIPM)-based optimization. NIPM is a Newton-type approach to nonlinear programming problems, but it adopts log-barrier functions to deal with the obstacle of managing inequality constraints. The fuzzy-enforcement method has been implemented for CCs, which can be incorporated in optimization problems for real-world applications. In this paper, numerical simulations that apply this method to power system optimal power flow problems are included.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.119-126
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• 2012

Recently, the breakdown of online banking servers and the leakage of customer information give rise to much concern about the security of information systems in financial and banking companies in Korea. The enforcement of security for information system becomes much more important issue than earlier. However, the security reinforcement of information system is restricted by a budget. In addition, the activities' cost to secure information system from threatening are under uncertain circumstances and should be established by a human decision maker who is basically uncertain and vague. Thus, making the budget for information system is exposed to any extent of the risk for these reasons. First, we introduce brief fuzzy set theory and fuzzy AHP (Analytic Hierarchy Process) methodology. Then, the cost elements that comprise yearly budget are presented and the priorities among the cost elements are calculated by fuzzy AHP. The cost elements that are exposed to risk are evaluated from the both perspectives of the risk impact and risk occurrence possibility which are expressed as linguistic terms. To get information on the risk profiles-pessimistic, most likely, and optimistic-for each cost element, the evaluation is accomplished and the result is presented. At last, the budget ranges-minimum, mode, maximum-for each cost element are estimated with the consideration of the risk profiles.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.1
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• pp.13-20
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• 2016

In this study, we propose a method to regulate parking violations using computer vision technology. A still color image of the parked vehicle under question is obtained by a camera mounted on enforcement vehicles. The acquired image is preprocessed through a morphological algorithm and binarized. The vehicle's shadows are detected from the binarized image, and lanes are identified using the information from the yellow parking lines that are drawn on the load. Whether parking is illegal is determined by the conformity of the lanes and the vehicle's shadow.

• Journal of Korean Society of Transportation
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• v.14 no.2
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• pp.119-136
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• 1996

The evaluation of risk level or possibility of traffic accidents is a fundamental task in reducing the dangers associated with current transportation system. However, due to the lack of data and basic researches for identifying such factors, evaluations so far have been undertaken by only the experts who can use their judgements well in this regard. Here comes the motivation this thesis to evaluate such risk level more or less in an automatic manner. The purpose of this thesis is to test the fuzzy-logic theory in evaluating the risk level of traffic accidents. In modeling the process of expert's logical inference of risk level determination, only the geometric features have been considered for the simplicity of the modeling. They are the visibility of road surface, horizontal alignment, vertical grade, diverging point, and the location of pedestrain crossing. At the same time, among some inference methods, fuzzy composition inference method has been employed as a back-bone inference mechanism. In calibration, the proposed model used four sites' data. After that, using calibrated model, six sites' risk levels have been identified. The results of the six sites' outcomes were quite similar to those of real world other than some errors caused by the enforcement of the model's output. But it seems that this kind of errors can be overcome in the future if some other factors such as driver characteristics, traffic environment, and traffic control conditions have been considered. Futhermore, the application of site's specific time series data would produce better results.

• The Journal of the Korea Contents Association
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• v.3 no.2
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• pp.24-30
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• 2003

Pre-existing authentication system such as token based method, knowledge-based and hybrid method have problems such as loss and wiretapping. for this, this paper describes the biometric authentication system which have the excellent convenience and security. In particular, a new biometric system by human face biometric features which have the non-enforcement and non-touch measurement is proposed. Firstly, facial features are extracted by Y- histogram and tilted face images we corrected by coordinate transformation and scaling has done for achieving independent of the camera positions. Secondly, feature vectors are extracted such as distance and intersection angles and similarities we measured by fuzzy relation matrix. finally, the effectiveness of this paper is demonstrated by experiments.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.253-263
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• 2020

In the case of government policies related to the Arctic Ocean, there is a "Northern Sea activity promotion basic plan" presented by the Ministry of Maritime Affairs and Fisheries, but it is difficult to adjust the timing of the policy enforcement and consider the importance of policies because no concrete order of enforcement of policies or weight has been presented by the government. In view of this, the purpose of this study was to estimate the priorities of the government's Arctic policies. Additionally, this study also presents priorities for "support measures" and "foreign cooperation measures" for the smooth implementation of Arctic policies. As for the methodology of this study, the CFPR (Consistent Fuzzy P reference Relations) method, which can comprehensively estimate expert opinions, was applied. According to the results of the analysis, the most important Arctic policy of the government was shown to be "Cooperation for Shipping and Logistics, such as Pioneering Northern Sea Routes" (0.087), followed by "Fostering Professional Manpower" (0.086), and "P reparing Institutional Foundation and Blueprint" (0.085). The results of this study have implications for the establishment of Arctic Ocean-related policies by policymakers as well as authorities.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.95-105
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• 2019

The failure of company management that does not overcome the recession of shipping economy has negative impact on front-end and back-end industries in relation to shipping industry overall. This study aims to derive a measure of government policy support for win-win of ship owners and shippers by performing a survey with experts in ship owners, shippers, and port-related institutions. This study employed a consistent fuzzy preference relation (CFPR) method to provide the priority of government policies. The study results showed that out of all 14 policies, the policy perceived most important was "expansion of participation in share of shipping company or ships of shipper (0.102)" followed by "strengthening of national shipper-centered service quality (0.101)", and "providing a long-term transportation contract model of container cargo (0.085)". To recover the Korean shipping industry via win-win of ship owners and shipper, the policy enforcement is important through correct government policy establishment and priority selection. In this regard, this study contributed to proposing policies and priority of the policies. For the future study, detailed analysis on comparison of perception difference among stakeholders in the shipping industry is needed.