• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.389-398
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• 2013

This study aims to support rational security investment decision making through prioritizing on operational level of management measures strategically, in carrying out industrial security activities. For this, AHP survey is conducted against industrial security professionals and analyzed. Thereafter, the importance and the priority of industrial security management measures are determined. As a result, in a comparison evaluation among the criteria, 'ICT service management' represents the highest weight (0.54). And the sub-criteria could be divided into three groups (Group I, II, III), depending on their importance. The sensitivity analysis results show that if the weight of the criterion, 'ICT systems/networks access control' is doubled, the sub-criteria, 'O/S access control', 'application access control', and 'wired/wireless network access control' are enter into top rank group. In case of the criterion, 'physical/environmental security' is doubled, the sub-criteria, 'protection zoning/access control' and 'disaster prevention on business equipment/counter-terrorism' are enter into the top rank group, 'securing utilities' is enter into the mid rank group.

• International Commerce and Information Review
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• v.13 no.1
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• pp.179-196
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• 2011

This study aims to measure the relative importance of trade insurance using AHP developed by Thomas Saaty of Pennsylvania in early 1970s. Moreover, it provides help in the development of a comprehensive strategy of trade insurance. To obtain priority of trade insurance in its functions, this study discovered significance and relative importance of two evaluation standards and four individual evaluation items. Of the two evaluation standards, importance of credit exposure was 63%. It was discovered that it was more important than political means (37%). Of the four individual evaluation items, importance of banking supplementation was 60%. It was more important than credit investigation of overseas traders (40%). Importance of trade promotion policy was 69%, which was more important than removal of anxiety in trade (31%). As a result of comparing priorities of the f tire evaluation items, priority of banking supplementation was 38% followed by trade promotion policy means (26%), credit investigation of overseas traders (25%) and removal of anxiety in trade (12%).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.5D
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• pp.421-427
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• 2012

This study develops the evaluation model which is for assessing on the side of users in expressway service areas, and researchers apply this study for monitoring expressway service areas by routes. The direction of development on Evaluation Criteria is all about on the side of necessity of rest area users, the reflection of current conditions, the construction of total evaluation criteria, and the examination of connecting study with current study. After that, this study examines previous evaluation criterias and researchers will select the primary provision of evaluation through FGI, and they derive the final evaluation criteria throughout the verification of suitability on Evaluation Criteria. Throughout AHP analysis which is a professional survey system of users, researchers dereive on the side of facilities, on the side of environments facilities, on the side of position, and on the side of services in order by the weightings. As you can see in this study, this study also considers quantitative and qualitative factors together, and it allows to evaluate conditions of rest areas. In addition, this study can be a primary study for suggesting the ways of improvements of rest areas by using Spider Map and for monitoring future study.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3B
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• pp.159-164
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• 2008

For increasing productivity of domestic IT industry, government and local agencies have some plans to establish industrial clusters to provide local firms with testbed, R&D center, and cooperative research project. The most difficult problem in this process is to decide the location of them by resonable methodology. In this paper, the subject is to find what the factors to be considered in locating facilities and industrial clusters invested by government are and how to decide efficiently. First, we look over some cases of other countries, and then find assessment items for locating. Finally we analyze these items and assessment model by the analytic Hierachy Process(AHP) and make conclusion, As a conclusion, we find the result that there are some differences between the object of govenmental policy and needs of industry. 'The base infrastructure for telecommunications environment' is more important to be considered by the firms than 'The local benefit of the public'

• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.1-18
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• 2010

The purpose of this paper is to evaluate the green logistics of Korea enterprises. According to participate pan-nationally about environment problems, the field of logistics is required to transfer green logistics like increase efficiency of using energy and construct economic systems. And also environment-friendly policies of enterprises are playing important role. So authors selected and analysed factors through precedent study and questionnaire. Selected factors are cultivation about environment-friendly policy awareness to employees, Utilization environment-friendly resources, decrease of atmosphere pollution substance, company's promotion of outside environment-friendly policy. In order to shed light on these problem, fuzzy AHP method is adopted and the factor of cultivation about environment-friendly policy awareness to employees is the highest weight. And also result of the highest weight between enterprises that set policies about green logistics and factors' are The Korean Air, Glovis, Korea Express synthetically.

• Journal of the Korean Society for Railway
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• v.14 no.4
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• pp.354-363
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• 2011

Existing railway bridges have been going through various improvements since the past, with new improvement plans being formed based on social and technological demands. However, there is the need, above all, for an efficient execution plan due to the great number of sites and excessive amount of required expenses contrary to limited assets. The system itself must be held in question in order to systemize various improvement plans, to define and describe factors while utilizing evaluation methods for significance and correlation to achieve generalization. This paper is focused on determining the priority of various improvement plans through the optimization selection process of mutually evaluating alternative plans under various evaluation standards, thus corresponding to the decision-making purpose. The AHP analysis technique was applied for systemization setting and preference evaluation, while the HPT procedure was applied to develop and select appropriate improvement plan factors.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.266-273
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilize Holland career search test results, TOEIC score, course work list, and GPA score as the input for data mining and generation the student advisory information. Factor analysis, AHP(Analytic Hierarchy Process), artificial neural net, and CART(Classification And Regression Tree) techniques are deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained with the human student advice experts.

• Journal of Navigation and Port Research
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• v.39 no.6
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• pp.553-559
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• 2015

The Korean Ship Supply market scale estimated at 5.7 trillion won in 2014. Much activated and related 400 of companies located in Busan, Ulsan near Busan area. But there have many companies had lower average revenue like a 2 billion won, Also the economic slump of world maritime port industry and low priced ship supply manufacture like as China and Other developing countries, those things made a gloomy situation in domestic industry. Therefore, in this study focused on Ship Supply Common Logistics for activation plan of Ship Supply Industry. And also determine which factor is most important to Ship Supply Common Logistics and analyzed AHP and IP analysis on 16 factors based on literature review. The result, most important factor was cost for Ship Supply Common Logistics.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.1-11
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• 2016

Entani and Tanaka (2007) presented a new approach for obtaining interval evaluations suitable for handling uncertain data. Above all, their approach is characterized by the normalization of interval data and thus the elimination of redundant bounds. Further, interval global weights in AHP are derived by using such normalized interval data. In this paper, we present a heuristic method for finding extreme points of interval data, which basically extends the method by Entani and Tanaka (2007), and also helps to obtain normalized interval data. In the second part of this paper, we show that the solutions to the linear program for interval global weights can be obtained by a simple inspection. In the meantime, the absolute dominance proposed by the authors is extended to pairwise dominance which makes it possible to identify at least more dominated alternatives under the same information.

• Convergence Security Journal
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• v.18 no.5_1
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• pp.25-32
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• 2018

Cyber hackings are increasing and becoming more intelligent. The government and private companies conduct various information protection activities by investing lots of money and employing security personnel to protect import ant assets and personal information. It is important to evaluate the efficiency of the information protection activities that cost lots of money and manpower. However, the studies on the efficiency of the information protection activities were mainly conducted for government agencies the information of which is more readily available. This study suggests a model that can evaluate the efficiency of the activities of information protection and information security certification of various private companies. Our model evaluates the efficiency of the information protection activities by applying AHP and DEA on the information that are publicly announced by the private companies. Our model identifies the DMUs that are efficiently operated and suggests the improvement policies for the DMU that are non-efficiently operated.