• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2010년도 추계학술대회
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• pp.199-207
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• 2010

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. In this paper, we use the analytic hierarchy process in weights calculating. For the purpose of making optimal decision, the data of three different smart phones models are used.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 후기학술대회논문집
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• pp.158-159
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• 2005

The paper presents a method for location of subsurface UXOs. The approach utilities gradient interpretation techniques (analytic signal, horizontal gradient and Euler methods) to locate the objects. Then, linear least-squares technique, we obtain the magnetization location of the sources. We demonstrate the practical utility of the method using marine magnetic field data.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2006년도 춘계 학술발표회 논문집
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• pp.732-737
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• 2006

The facility diagnosis technique of past subjective judged the technical expert and interpreted stably mainly. The facility the periodical civil official becomes indispensability consequently with the law and the system and objectivity inspection which relates with a this and development of diagnosis technique were necessary. Currently the evaluation elements which relate with an inspection and diagnosis technique depended to the subjectivity of each facility quality, data statistics, diagnosis know-how, various circumstance and the technical expert and the evaluation item came to decide. But the evaluation score distribution of marks of each item depended plentifully in data analysis result and experience. The past method is weak in logically because the objection theoretical background and basis are insufficiency. Consequently in order to apply a data analysis result and an experience logically, it used AHP(Analytic Hierarchy Process) method from this research. It is visible with the fact that the application result reconfirmation and complement process will be necessary the technique which is suitable in the multi facility management. Also it is expected with the fact that the application characteristic from the next relation technique will be excellent.

• 대한안전경영과학회지
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• 제16권1호
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• pp.213-220
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• 2014

This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

• 한국컴퓨터정보학회논문지
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• 제7권4호
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• pp.83-88
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• 2002

데이터베이스 설계를 위해 구축된 수많은 개념적 스키마들을 재사용하기 위한 분석수단이 요구된다. 본 논문에서는 개념적 스키마를 분석하는 방법을 제시하고 참조 스키마를 추출하기 위한 스키마 분석을 실험을 하였다. 스키마 통합은 유사함 값이 0.6 이상인 경우에 적용하는 것이 바람직하다. 분석 방법을 통해 생성되는 참조 스키마는 개념을 포괄적으로 표현할 수 있고 스키마 재사용을 위한 수단이 된다. 그리고, 참조 스키마 추출에 필요한 상세한 분석자료를 구하기 위해서는 피쳐를 근거로 스키마를 분석하는 것이 효과적인 수단이 된다.

• 경영과학
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• 제11권3호
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• pp.129-151
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• 1994

This paper focuses on method of setting priorities for telecommunications Standardization in which usually includes prioritization, resource allocation, standardization schedule for each SWA is based on prioritization of SWAs. We mainly used the Analytic Hierarchy Process(AHP) and a modified Delphi technique as a method for planning process. Recently, rapid technology evolution in telecommunications fields increases the necessity of developing more and more new standards. Also increased complexity of technologies makes standards more complicated, more specified and more thick than the past ones. As a result, the number of SWAa(Standardization Work Areas) and SWIs(Standardization Work Iterms) is being increased continuously. Furthermore, rapid telecommunication environment changes such as deregulation, liberalization, privatization, regionalization, and globalization surrounding telecommunications standardization grows increasingly important. To cope with these challenges and to make the more efficient use of the limited standardization resources, i.e., time, financial, personal resources, we will suggest logical and rational approach that is a backbone of strategic plan for telecommunication standardization. The telecommunication standardization planning process involves a MCDM(Multi-Criteria Decision Making) process. The Analytic Hierarchy Process(AHP) is a kind of MCDM approach. Our method is based on a combination of a modified Delphi technique and an application of AHP(spreadsheet model). Analyzed data from Delphi technique is used as inputs to AHP. In addition we also focus on the technique how to combine group judgments and to handle a large number of comparisons.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.567-582
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• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.401-409
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• 2007

This paper addresses a performance evaluation model for ERP system's implementation using Analytic Network Process (ANP) technique. In this study, the performance variables are identified as the perspectives of cost, business process, systems operation, and change management, respectively. The empirical study also investigated factors that affect the performance variables to find out the causal relationship between them using the ANP approach. The data for the empirical analysis were collected from manufacturing companies that have implemented ERP systems. The research findings indicate the proposed model is powerful in proposing that the indirect relationship between influencing factors and managerial effectiveness, mediated by employee satisfaction, is an important one.

• Journal of information and communication convergence engineering
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• 제13권2호
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• pp.97-104
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• 2015

In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

• 시큐리티연구
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• 제5호
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• pp.109-130
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• 2002

As proceeding Munmin and Kukmin's government, it is to bring in regionalism of genernal public administration and police administration, specialization, efficiency issue, demand inventing of audit technique to meet this trends. Especially, according to supporting qualitative improvement of the audit, its environment faced that orienting performance audit emphasis on not the legality but the efficiency more systematic and scientific theory or technique. In order to attain police audit's efficiency through performance audit, this study discussed that scientific management techniques should be applied police audit. Accordingly, the primary purpose of this study is to apply public audit to scientific management technique, bring to light limits in public sector(especially, police sector). To be efficiency audit(namely, performance audit), 1) OR techniques are explained linear programming, network modeling, PERT/CPM, queuing matrix model, simulation, 2) Statistical analysis methods are argued delphi technique, data envelopment analysis(DEA), analytic hierarchical process(AHP), time series analysis models etc.