• Journal of Environmental Science International
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• v.9 no.6
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• pp.489-494
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• 2000

This research focused on the priotity decision for establishment sriteria on the effects which environmental sculptures in urban area. The analysis performed in this study used the AHP(Analytic Hierarchy Process) that is recognized as a useful decision-making tool to select and evaluate alternatives through pairwise comparison in the context of hierarchical decision structure. The results obtained from the analysis drawn by collecting the professional opinions of 5 experts for environmental sculptures are as follows: 1. The orders of establish criteria priorities on environmental sculptures were harmony of environment> symbol> public> function. The harmony of environment was the most important priority because it showed the highest weight of criteria. 2. The alternative priorities of environmental sculptures were the meaning of work>setting place> social contribution> physical quality .The meaning of work showed the highest change in the weight of alternative. 3.The sensitivity analysis of environmental sculptures demonstrated that the rate of change in the alternative priorities of the public was stabilized although the criteria importance varied, while the harmony of environment, the symbol intimated and function of priorities has their rates of weight changed if the criteria priorities were high.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.281-285
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• 2006

Reservoir Reconstruction Priority(RRP) model is constituted both possibility and restriction criteria for establishing reconstruction priorities and their subdivisions that can be extracted each priorities from the GIS data and by using AHP as the multi-criteria method, it can extract the weighting parameters each criteria of the model. As such, RRP model appeared to provide reasonable criteria in determining the priority of agricultural reservoirs for reconstruction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.25-32
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• 2011

Under limited resources such as budgets and experts, it is essential to set promotion priorities for standardization work items on IPv6 (Internet Protocol version 6) multi-networking technologies. Opinions of domain experts are surveyed and analyzed utilizing a multi-criteria decision making tool, the Analytic Hierarchy Process (AHP). Weights of ten evaluation criteria are identified and applied to calculating importance degree of eight work items. According to descending order of importance degree, priorities of work items are determined. The processes and results of this study may provide not only an approach of setting promotion priorities for standardization work items but also a practical guide of implementing of a multi-criteria decision analysis.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.241-250
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• 2003

With an increasing awareness of information security, the market demand for better information security goods and services causes shortage in well trained information security manpower. This study analyzes the priorities of the options available to the qualitative information security manpower training policy. The analysis is conducted through four hierarchies: goals, criteria, sub-criteria and alternatives for each of which priorities are developed through the rating approach of the Analytic Hierarchy Process (AHP). 3 criteria and 8 sub-criteria are involved in the four hierarchies. The analysis result indicates that the fundamental information security technology is the most desirable.

• Journal of Korean Society of Transportation
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• v.22 no.5
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• pp.35-45
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• 2004

This paper analyzes the differences in the service quality priorities of air cargo service providers and customers. After having identified what constitutes the decisive factors with regards to air cargo service quslity, research was carried out to evaluate the differences in the service quality priorities of air cargo service providers and customers. Moreover, this paper analyzes these differences by separating air cargo service providers into Korean and international air cargo service providers. In order to attain the objectives of this research, the air cargo service sectors were divided into three general categories: supply capability(H/W), service accountability, and competitiveness of service fees and management capability(S/W). The researchers then placed 6 different criteria into each service category, for a total of 18. The evaluation of the service quality priorities of air cargo service providers and customers revealed very little difference between these two groups. With regards to the service criteria found in each service category, our research found marked differences between the service quality priorities of providers and customers in only three of the 18 criteria. However, we found marked differences in service quality priorities in 7 of the 18 criteria when the air cargo service providers were divided into Korean and international air cargo providers. While domestic air cargo service providers evaluated management's capability to handle cargo accidents and incidents as the most important priority, international air cargo service providers placed the highest priority on the cargo rate system. The results of this research imply that in order to properly evaluate the differences between the service quality priorities of air cargo service providers and customers, the air cargo service providers itself should be separated between the Korean air cargo service providers and the foreign providers because of their respective inherent perception on service quality.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.201-218
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• 1999

The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.843-851
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• 2020

This study focuses on identifying and prioritizing the broader performance measures for the service supply chains by taking the case of Majan Electricity Company, Sohar, in the Sultanate of Oman. For an examination of the uniformity of ultimate objectives and the priorities therein, two strata of respondents with a total of fourteen respondents were approached for their valuable insights. Suitable structured instruments were personally administered to elicit the insightful and worthy responses. The two multi-criteria decision-making techniques, namely, the Fuzzy Analytical Hierarchy Process and the Best-Worst Method were used to reach a meaningful prioritization of the identified and refined broader performance measurement dimensions. The results show that there exists a minor gap between the two respondents' groups in terms of their prioritizations. The major finding points to the difference in terms of the topmost priorities as revealed by the two set of respondents. For one group of respondents, the customer satisfaction matters the most, whereas for the other group, it is the overall profitability that matters the most. This gap against the utopian state assists in concluding that there is a requirement to reorient the employees so as to have a shared and common understanding of the organizational priorities.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.81-88
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• 2007

This study aimed to develop priorities alternatives based on relative rather than absolute assignments on clothing evaluative criteria. The relative comparison approach includes much redundancy and is thus less sensitive to judgemental errors common to techniques using absolute assignments. By deriving evaluative criteria for consumers in choosing clothing, and considering their relative important or value in the priority of evaluation elements. When the consumer selects clothing, it requires multi-criteria decision making exercise and needs to make trade-offs between different alternatives. With an application of the AHP's hierarchical structuring and pair-wise comparisons, this study will determine the weight and priorities of evaluation factor in clothing evaluative criteria in choosing cloth, which will eventually lead to improve management. Items for the setting priority were decided as 'symbol', 'practicality', 'economy', 'vogue', and 'aesthetic' by council. The data for this research were collected from respondents of 108 females in Busan. Data were analyzed by frequency and AHP. As the results, 'economy' was decided as a most important item. And 'a fashionable color' evaluated as that of first priority in the totality evaluation elements.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.707-720
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• 2021

To improve the accuracy of the recommendation system, multi-criteria recommendation systems have been widely researched. However, it is highly complicated to extract the preferred features of users and items from the data. To this end, subjective indicators, which indicate a user's priorities for personalized recommendations, should be derived. In this study, we propose a method for generating recommendation candidates by predicting multi-criteria ratings from reviews and using them to derive user priorities. Using a deep learning model based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), multi-criteria prediction ratings were derived from reviews. These ratings were then aggregated to form a linear regression model to predict the overall rating. This model not only predicts the overall rating but also uses the training weights from the layers of the model as the user's priority. Based on this, a new score matrix for recommendation is derived by calculating the similarity between the user and the item according to the criteria, and an item suitable for the user is proposed. The experiment was conducted by collecting the actual "TripAdvisor" dataset. For performance evaluation, the proposed method was compared with a general recommendation system based on singular value decomposition. The results of the experiments demonstrate the high performance of the proposed method.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.4
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• pp.289-301
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• 2020

Since sewer rehabilitation program requires long construction period and enormous capital investment, determination of rehabilitation priorities is important with systematic planning considering appropriate evaluation parameters. In this research, we applied PROMETHEE(Preference Ranking Organization METHod for Evaluations) known as very objective and scientific multi-criteria decision-making analysis, using the weights determined by AHP(Analytic Hierarchy Process) for the selected sewer evaluation items to calculate the rehabilitation priorities for each sewer sub-catchment in basin Gusan 1 of Seoul. Preference functions and preference thresholds were estimated for each criterion of ratio of lack of hydraulic capacity of sewers, defect ratio, ratio of sewers with velocity less than its minimum criteria, and density of sewers in the sub-catchment. As a result, it was found that region d had the first priority among four sub-catchments. For each and every sewer located in region d, we could also rank sewers to be rehabilitated urgently.