• Journal of Information Technology Services
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• v.17 no.2
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.6-10
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• 2009

In these days, recommendation service in mobile environments is in the limelight due to the spread of mobile devices and an increase of information owing to advancement of computer network. The restaurant recommendation system reflecting user preference was proposed. This system uses Bayesian network to model user preference and analytical hierarchical process to recommend restaurants, but static inference model for user preference used in the system has some limitations that cannot manage changing user preference and enormous user survey must be preceded. This paper proposes a learning method for Bayesian network based on user requests. The proposed method is implemented on mobile devices and desktop, and we show the possibility of the proposed method through experiments.

• Korean Journal of Community Nutrition
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• v.19 no.1
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• pp.51-59
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• 2014

The current exploratory study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method to obtain the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. The aim of this study was to elicit prior strategy to improve army military foodservice. Content analysis and seven times of in-depth interview from 13 officers of the Ministry of National Defense were conducted to develop the hierarchical structure for AHP analysis. Questionnaires were distributed to 61 foodservice managers and 39 dietitian and military foodservice officers. The highest-ranked strategy for improving military foodservice was the 'renewal of the kitchen facilities' (0.2578), followed by 'enlargement of foodservice operating staffs' (0.2345), 'specialization of sanitation & foodservice management' (0.2222), 'Practical foodservice budget control' (0.1394), and 'menu variety & standardized recipe' (0.1281). 'Enlargement of foodservice facilities' (0.3995), 'increase the no. of kitchen police' (0.3463), 'sanitary & cooking training reinforcement of kitchen police' (0.4445), 'management of foodservice budget by total amount' (0.5043), and 'standardization of mass cooking' (0.3571) were the highest overweight item in each strategy. The study also compared the relative weights of alternatives of foodservice managers with that of dietitians and military foodservice officers. Those two groups revealed some difference in their priority of important strategy regarding army military foodservice. The results of this study would provide the data for making a policy or compilation of the budget regarding army military foodservice.

• Journal of the Korean Society of Food Culture
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• v.27 no.3
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• pp.274-284
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• 2012

This study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method for obtaining the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. The aim of this study was to elicit prior strategies for brand communication for Korean restaurants overseas. We created a questionnaire and surveyed experts at government agencies, restaurant companies, and universities from October to November 2011. By applying the pairwise comparison matrix, relevance was perceived as a more important strategy evaluation criteria than effectiveness or urgency. The highest-ranked strategy was the 'Identification of the BI and positioning of Korean restaurants' followed by 'Development of Korean food content for overseas promotion', 'Development of locally customized Korean food recipes and new Korean menus', 'Development of marketing communication strategies for Korean restaurants by countries', and 'Development of Korean restaurant differentiation strategies'. The results of this study can be used for effective Korean food globalization by enhancing the competitiveness in the world market.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.2
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• pp.1-11
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• 2010

The provision of warning information on upcoming hazards leading to potential crash occurrence is a significant countermeasure to prevent crashes on the highway. This study presents a methodology for selecting more effective warning messages using a multi-criteria value function. The understandability, preference level, and message reading time were used as measures of effectiveness (MOE) for messages. Expert judgements were incorporated into the value function by analytical hierarchical process (AHP) technique. Field experiments to evaluate the warning messages were conducted in a testbed section on the Jungboo-Naeryuk freeway. The proposed methodology would be a useful tool to support the design of various traffic information messages.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.66-73
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• 2013

Analytical Hierarchy Process (AHP) is a famous method amongst Multi Criteria Decision Making (MCDM), set up by Saaty in 1980. AHP can be determined as a methodology of hierarchical analysis following reasonable decision making with make simpler a difficult crisis. Decision making in systems of Safety management concerned multipart challenges. AHP is process for get better the composite decisions understanding with analyzes of the problem in a structure of hierarchy. The integration all of applicable decision criteria, their pair wise judgment permits the decision maker to establish the trade-offs amongst objectives. In recent years, Malaysian's economy and infrastructure development have significantly and rapidly risen. The construction industry continues to play a major role in this development as many construction activities have been carried out to meet the high demands of the expansive market. However, the construction industry has faced a wide range of challenges, one of which is the frequent occurrences of accidents at the workplace. An effective safety program can substantially reduce accidents because it can help management to build up safer means of operations and create safe working environments for the workers. Furthermore, by having an effective safety programs, good safety culture can be embedded in organization because it can encourage mutual cooperation between management and workers in the operations of the programs and decisions that affect their safety and health. The focus of this research is development methodology of Analytics Hierarchy Process (AHP) in construction safety factors and investigates the levels of some effective elements in SMS in Malaysian construction industries.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.288-301
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• 2016

This paper employed typology and stratification as key elements to estimate quality evaluation of vinegar drink through Delphi and AHP(analytical hierarchical process) method to contribute the market expansion of the vinegar drink as a health drink. Through literature research and brainstorming with professionals, the first round of Delphi method was conducted with the open-ended questions including five upper concepts, i.e. 'ingredients', 'production method', 'product characteristics', 'functions' and 'packaging design'. Original study had 50 lower concepts as a result of the first round and added 'marketing' as an additional upper concept. The second and third round of Delphi method have been conducted with closed-ended questions based on the 50 lower concepts resulted from the first round. To seek concordant objectivity among the answers from the survey, the study used Kendall's W coefficient of concordance. 11 items were removed while 16 items were removed at the third round leaving 23 items through second round of Delphi method. For the final round, this study utilized the Pairwise Comparison Method to figure out the relative importance of the 23 items for the prioritization. Finally, current study formulated the final items which should be considered as an important factor in the quality evaluation of vinegar drink.

• Journal of Korean Port Research
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• v.7 no.1
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• pp.5-12
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• 1993

In complex decision making such as ill-defined system, one of the main problem is how to treat ambiguous aspect of the decision making. According to the complexity and ambiguity of the objective systems, many types of evaluation attributes are necessary for the rational decision and the relationship among the attributes become complex and fuzzy. Fuzzy integral is very effective to evalute the complex system with interaction between attributes but how to save the evaluation efforts in the decision making process of grading the membership of the objects or alternative is the problem to be tackled. Because the more object there are to evaluate, the number of decisions to made increase exponentially. Therefore, this paper aimes to propose a new evaluation algorithm based on fuzzy integral which can save the evaluator's efforts in decision making process. The proposed algorithm is constructed as follows : First, compose the fuzzy measure by introducing AHP(Analytical Hierachy Process) & mutual interaction coefficient. Second, generate fuzzy measure value of monotone family set for calculating the fuzzy integral. The effectiveness of the proposed algorithm is investigated through the example and sensitivity of interaction coefficient is illustrated.

• Journal of Advanced Marine Engineering and Technology
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• v.22 no.3
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• pp.381-395
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• 1998

The purpose of this study is to determine the optimal gas turbine system for special purpose ships. First we generate critical evaluation criteria an construct their hierarchical structure. The criteria consist of qualitative ones as well as the economic factor. Then AHP is applied to solve the decision making problem AHP gibes good results different from those only by the economic evaluation methods. And during the analysis, the procedure produces many useful informations to the decision making. The results shows that AHP is an appropriate method for these kinds of problems such as the system selection.

• Journal of Navigation and Port Research
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• v.31 no.9
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• pp.801-806
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• 2007

The analytical hierarchy process (AHP) enables decision makers to represent the interaction of multiple factors in complex and unstructured situations. The process requires the decision maker to develop a hierarchical structure of the factors in the given problem and to provide judgments about the relative importance of each of these factors and ultimately to specify a preference for each decision alternative with respect to each factor. The research presented in this paper applies the AHP to identify key players in promoting port competitiveness. The literature survey revealed four major criteria and 15 sub-criteria. The four factors are cost, service quality, facility/capacity and economic-social variable. 150 questionnaires suitable for AHP analysis were made and 77 were returned. It is found that in terms of cost, the first key player is terminal operator and the second key player is shipping companies calling Busan port; in terms of service quality, the first key player is terminal operator, and the second key player is shipping companies calling Busan port; in terms of facility/capacity, the first key player is port authority and the second key player is terminal operator; in terms of economic-social variable, the first key player is terminal operator, and the second key player is shipping companies calling Busan port.