• Journal of Digital Convergence
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• v.11 no.2
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• pp.221-228
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• 2013

A number of research studies focus on the efficacy of using such as scenario based learning. However, desirable methods have not been introduced to assess the scenario based learning. This article is to suggest a fuzzy logic based framework for scenario base learning in which more reasonable learning effects are measured. It can be solved uncertain problems of linguistic variables. Also, we suggest three measures of accuracy, comprehensibility and completeness in order to evaluate accurate effects of scenario based learning. This assessment provides the scenario to the learner in which the scenario is presented in an authentic context, and enable the learner to reach an outcome through an adequate sequence and choices. This approach enables the system to present new scenarios and outcomes based on what a user selects. In particular, the application of fuzzy logic in scenario based learning can be easily pursued certain successful path or wrong path all the way through to reach major outcome in real situation.

• Journal of the Korean Society of Safety
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• v.14 no.3
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• pp.54-62
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• 1999

This paper presents a study on the safety assessment of human body for electromagnetic field at unbalanced power system. The 3-phase load flow algorithm uses Newton-Raphson method based on Taylor series expansion of power flow equations in rectangular coordinates. The use of such a method can result in a solution with good convergence characteristics. In the safety assessment of human body, the approach based on fuzzy linguistic variable is employed to overcome the shortcomings resulting from a crisp set concept. The suggested scheme is applied to a 24bus system to validate the usefulness. The results for an unbalanced power system are compared with the results for a balanced power system.

• Journal of the Ergonomics Society of Korea
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• v.14 no.2
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• pp.63-73
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• 1995

An approach to quantitative evaluation of product usability during the design and implementation phases of the product life cycle is presented. The evaluation starts by defining a set of usability characteristics, viz. physical, cognitive and affective characteristic. Each of these characteristics is assessed by a set of usability criteria, such as functionality, visual clarity, learmability, etc. The usability criterion is then evaluated by a checklist consisting of a detailed questionnaire. The fuzzy weighted-checklist method with linguistic variables is used for quantitative analysis. Also, the method for quantifying usability improve- ments in iterative design processes is considered. This analysis procides a quantit- ative measure, which reflects the degree of excellence of product usability during the design and development phases.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.127-135
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• 2016

Even thought modernized marine navigation devices help navigators, marine accidents has been often occurred and ship collision is one of the main types of the accidents. Various studies on the assessment method of collision risk have been reported, and studies using fuzzy theory are remarkable for the reason that reflect linguistic and ambiguous criteria for real situations. In these studies, collision risks were assessed on the assumption that the current state of navigation ship would be maintained. However, navigators ignore or turn off frequent alarms caused by the devices predicting collision risk, because they think that they can avoid the collisions in the most of situations. This paper proposes a model of predicting ship collision risk considering the general patterns of collision avoidance, and the approach is based on fuzzy inference and discrete event system specification (DEVS) formalism.

• Management & Information Systems Review
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• v.35 no.3
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• pp.173-193
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• 2016

The aim of this paper is to extend the TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) to the fuzzy environment for solving the disaster recovery priority decision problem in credit bureau business information system. In this paper, the rating of each information systems and the weight of each criterion are described by linguistic terms which can be expressed in trapezoidal fuzzy numbers. Then, a vertex method is proposed to calculate the distance between two trapezoidal fuzzy numbers. According to the concept of the TOPSIS, a closeness coefficient is defined to determine the ranking order of all information systems. The combination between the fuzzy set and TOPSIS brings several benefits when compared with other approaches, such that the fuzzy TOPSIS require few fuzzy judgements to parameterization, which contributes to the agility of the decision process, it does not limit the number of alternatives simultaneously evaluated, and it does not cause the ranking reversal problem when a new alternative is included in the evaluation process. This paper is demonstrated with a real case study of a credit rating agency involving 9 evaluation criteria and 9 credit bureau business information systems assessed by 6 evaluators, and provide the systematic disaster recovery framework for BCP(Business Continuity Planning) to practitioner. Finally, this paper show that the procedure of the proposed fuzzy TOPSIS method is well suited as a decision-making tool for the disaster recovery priority decision problem in credit bureau business information system.

• Journal of Korean Society of Transportation
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• v.21 no.3
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• pp.37-46
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• 2003

Over the last few years, the major airports in Asia have been operating at or close to their capacity. As a result, Korea, Japan, China, Hong Kong, Thailand, Malaysia, and Indonesia decided to expedite the development of new airports. Accordingly, some of the existing airports have been completely used as other functions or purposes and the others operated as a domestic airport. In the latter case, re-development plans are needed for idle facilities. This paper evaluates the alternative options for re-development of idle airport facilities of Seoul Gimpo International Airport. The proposed methodology makes it possible to provide a practical and applicable evaluation of airport re-development plan. In particular, it can take into account the qualitative aspects of different interesting groups such as airport experts. passengers and airport peripheral community. The interview was conducted in order to obtain the different groups' view. To evaluate and select the best option of the airport re-development, this study adopted a fuzzy linguistic approach.