• 산업경영시스템학회지
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• 제33권3호
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• pp.192-198
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• 2010

To maximize effectiveness of standardization activities, it is essential to set priorities for determined standardization work items in the next generation internet protocol television (NG-IPTV) technologies. In this study, the analytic hierarchy process(AHP) is employed and applied to ranking of NG-IPTV standardization work items as a multi-criteria decision making tool which involves comprehensive surveys. Survey results are analyzed and we identified a useful three level segmentation of standardization strategic plan which shows standardization work item priorities.

• Journal of Information Technology Applications and Management
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• 제25권1호
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• pp.67-85
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• 2018

We propose a noise reduced risk aversion index for measuring risk aversion through a laboratory experiment to overcome disadvantages of the multiple pricing list format developed by Holt and Laury (2002). We use randomized multiple list choices with coarser classification and reward weighting, supplement the rank of risk aversion with extra individual characteristics of risk attitude, and construct an index of risk aversion by standardizing the risk aversion ranking with quantile normalization. Our method reduces multiple switching problems that noisy decision makers mistakenly commit in experimental approaches, so that it is free of the framing effect which severely occurred in the HL. Furthermore, the index doesn't utilize any specific utility function or probability weighting, which allows researcher to hold the independence axiom. Since our noise reduced index of risk aversion has many good traits, it is widely used and applied to reveal fundamental characteristics of risk-related behaviors in economics and finance regardless of experimental environment.

• 대한안전경영과학회지
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• 제8권4호
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• pp.181-193
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• 2006

The purpose of this thesis addresses a development of an expert system to support a decision making of the vender selection. The researches related to the vender selection problems have been studied and they provide 23 criteria to select proper venders. In this thesis, 8 criteria have been used to construct a knowledge base of the expert system. The system in this thesis consists of 6 steps in its procedure. Step 1 decides a specification that satisfies customer's needs and Step 2 chooses a part supplied by a vender. The type of an outside order is decided in Step 3 and some venders satisfying the customer's needs are selected in Step 4. Some of the venders chosen from step 4 which do not satisfy the fatal cirteria(that is Quality, Delivery, Price) can be deleted in Step 5. In the last step, 8 cirteria is used to select 3 venders according to their ranking. Consequently, this program provides for a man, who does not have the experiances, an efficient way to select appropriate venders in the vender selection problems.

• Industrial Engineering and Management Systems
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• 제15권4호
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• pp.354-363
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• 2016

Due to uncertain environment, various parameters such as price, queuing length, warranty, and so on influence on inventory models. In this paper, an inventory-queuing-pricing problem with continuous review inventory control policy and batch arrival queuing approach, is presented. To best of our knowledge, (I) demand function is stochastic and price dependent; (II) due to the uncertainty in real-world situations, a fuzzy programming approach is applied. Therefore, the presented model with goal of maximizing total profit of system analyzes the price and order quantity decision variables. Since the proposed model belongs to NP-hard problems, Pareto-based approaches based on non-dominated ranking and sorting genetic algorithm are proposed and justified to solve the model. Several numerical illustrations are generated to demonstrate the model validity and algorithms performance. The results showed the applicability and robustness of the proposed soft-computing-based approaches to analyze the problem.

• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.49-62
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• 2016

In this paper, we propose an integrated data envelopment analysis (DEA) and analytic hierarchy process (AHP) methodology in which the information about the hierarchical structures of input-output data can be reflected in the performance assessment of decision making units (DMUs). Firstly, this can be implemented by extending a traditional DEA model to a three-level DEA model. Secondly, weight bounds, using AHP, can be incorporated in the three-level DEA model. Finally, the effects of incorporating weight bounds can be analyzed by developing a parametric distance model. Increasing the value of a parameter in a domain of efficiency loss, we explore the various systems of weights. This may lead to various ranking positions for each DMU in comparison to the other DMUs. An illustrative example of road safety performance for a set of 19 European countries highlights the usefulness of the proposed approach.

• 상하수도학회지
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• 제19권2호
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• pp.221-227
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• 2005

This study has suggested the base data for decision of maintenance ranking and estimation of maintenance effect in the maintenance project of sewers as based on investigation of the defective rate in the sewer through Infiltration/Inflow(I/I) and CCTV analysis. It also analyzed the correlation between I/I and defective rate of sewer. As the result of this study, (1) Defective items of sewer was found out one item each 12.97m with an average. (2) By regression analysis, I/I has high correlation with defective rate of sewer like that $R^2$ is 0.7806. (3) The first thing in the item with bad influence on the I/I was joint badness and secondary was cross connection.

• 한국안전학회지
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• 제14권2호
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• pp.62-69
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• 1999

The quantitative risk assessment and consequence analysis by accident scenario in the process of EPS(Expendable Poly Stylene) reaction process are conducted. And the decision making process is studied followed by selecting various alternatives to safety management and facility improvement. The result are as follows; 1) The object of decision making through comprehensive risk assessment are the scenario which can cause four major accident, which are made by process analysis, work analysis and hazard identification. 2) Frequency analysis of ETA, FTA, HRA and consequence analysis of accident to each have been conducted. The each frequency values are yielded $9.2{\times}10_{-5}/yr$ to scenarios $1, 8.2{\times}10^{-4}/yr$ to scenario 2, $4.5{\times}10^{-6}/yr$ scenario 3 and $1.8{\times}10^{-7}/yr$ to scenario 4. The each scenarios have been conducted consequence analysis. 3) The calculated values have been obtained 4.00 to scenario 1, 3.25 to scenario 2, 2.43 to scenario 3 and 1.34 to scenario 4, as the weight value had been applied to the quantitative and normalized criteria of all components. As a risk criteria, scenario 1 have been selected, which is the most dangerous scenario as a result of ranking the scenario. 4) According to the importance of FTA and contribute to scenario 1, the cost-benefit values are yielded $8.05\times10^5[￦/yr]$ to final alternative(Al), $1.55{\times}10^5[￦/yr]$ to final alternative(A2) and $2.32{\times}10^5[￦/yr]$ to final alternative(A3). As a result of final alternative(Al) has been selected, which is the most optimized alternative.

• 대한토목학회논문집
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• 제33권3호
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• pp.917-926
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• 2013

본 연구는 로버스트 우선순위 결정을 위한 퍼지 다기준 의사결정기법의 타당성을 수자원 계획수립 문제에 적용하여 제시하였다. 즉 일반적인 다기준 의사결정 기법인 가중합계법, 계층화분석과정, 수정계층화분석과정, TOPSIS 방법과 퍼지가중합계법, 퍼지계층화분석과정, 퍼지수정계층화분석과정, 퍼지 TOPSIS 방법을 사용하여 결과를 비교하였다. 이때 사용된 각 평가기준별 자료는 동일하게 표준화되었으며 각 가중치도 동일한 방법으로 결정되었다. 분석결과 다기준 의사결정방법에 따라 조금씩 다른 순위가 도출되었으나, 퍼지 다기준 의사결정기법을 사용할 경우 사업들의 순위 변동성이 퍼지를 사용하지 않을 때보다 크지 않아 보다 일관된 순위를 유도하였다. 따라서 사업의 우선순위를 결정하는 문제에서 자료와 가중치의 불확실성을 고려할 수 있는 퍼지 다기준 의사결정기법을 활용해서 방법의 변화로 인한 순위의 변동성을 최소화해서 로버스트 순위를 결정하는 것이 보다 효과적이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.719-726
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• 2020

Education policy is a dynamic process featuring social development trends. The world countries have focused their education program on empowering the learners for future life and work. This paper aims to assess the higher education curriculum based on a survey of 280 students, employers, alumni, and lecturers in both social sciences and natural sciences in Ho Chi Minh City, Vietnam. The fuzzy decision-making method, namely the Fuzzy Extent Analysis Method (F-EAM), was applied to measure the relative weight of each parameter. Seven factors under the curriculum development have been put in the ranking. Input with emphasis on foreign language was the highest priority in curriculum development, given the expected demand of the labor market. Objective and learning outcome and teaching activities ranked second and third, respectively. The traditional triangle of teaching content, methodology, and evaluation and assessment are still proven their roles, but certain modifications have been defined in the advanced curriculum. Teaching facilities had the least weight among the seven dimensions of curriculum development. The findings are helpful for education managers to efficiently allocate scarce resources to reform the curriculum to bridge the undergraduate quality gap between labor supply and demand, meeting the dynamic trends of social development.

• 공학교육연구
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• 제13권6호
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• pp.80-86
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• 2010

본 연구는 자연계열 학업우수 고등학생들의 희망전공 결정 현황과 학생이 인식하는 전공결정의 영향요인을 살펴보고자 하는 것을 목적으로 한다. 이를 위해 전공결정에 관한 질문지를 14개 고등학교 학생 1000여명에게 실시하였고, 수거된 응답 중에서 자연계열 학업우수 고등학생 655명의 자료를 분석하였다. 연구결과, 첫째, 고등학교 2학년에 희망전공을 결정한 비율이 80% 이상으로 3학년과 차이가 없었으며, 의학계열을 전공하고자 하는 학생들이 50% 이상으로 나타났다. 둘째, 이학을 전공하기를 희망하는 학생들이 의학계열을 전공하고자 하는 학생들보다 진로결정수준이 높았다. 셋째, 학생들의 전공결정에 가장 중요한 요인은 본인의 학문적 흥미와 적성이었고, 이는 의학계열을 전공하고자 하는 학생들보다 공학계열과 이학계열을 전공하고자 하는 학생들에게서 더 중요하게 고려되는 것으로 나타났다. 공학과 이학에 대한 학문적 흥미와 적성을 찾을 수 있는 경험을 제공하고 고등학생들의 진로결정수준을 높이기 위한 진로개발 프로그램을 시행하는 것이 의학계열에 대한 선호도 현상을 해결하는데 중요한 역할을 할 수 있을 것임을 시사한다.