• Journal of Korean Society for Quality Management
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• v.22 no.3
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• pp.66-84
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• 1994

The investment to advanced manufacturing techniques is essential to reinforcement of furture competitiveness. To make a decision for selecting an appropriate manufacturing facility is very important ; it is, however, rather difficult to get a precise evaluation through conventional cost analysis methods. The supreme decision-maker does not only take into consideration tangible cost attributes in decision-making ; he also takes into account such intangible attributes as strategic ones. This study combines Analytic Hierarchy Process and Simulation in order to graph the variations of weighted indices of alternatives for effective decision making when cost attributes are uncertain. A numerical example is illustrated to explain the basic mechanics of the proposed decision procedure.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.159-191
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• 2016

In order to deal with uncertainty and conflicting interests in technological risk policy-making, various participatory decision-making models have been practiced. This participatory approach is an alterative to the traditional process of science and technology policy-making where scientific experts provide evidence and government officials make decisions. However, there still remain different opinions on who should play what kind of role in decision-making process. Therefore this paper examines the division of labour in the public deliberations for radioactive waste management policy carried out in the UK and Korea. It discusses the ways in which various actors are defined, and the rationales are employed for allocating actors to certain roles and participatory methods. In so doing, this paper unfolds the ways in which the participatory decision-making process for risk governance is delivered in real policy context. Similarities and differences revealed in the division of labour of two cases contribute to development of radioactive waste management policy and the policy instruments for risk governance.

• Korean Parent-Child Health Journal
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• v.11 no.1
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• pp.61-72
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• 2008

This study is a descriptive research attempted to examine the exercise practice of junior high school students and figure out their changing process, decision-making balance, and self-efficacy according to the exercise practice so that they can be utilized as fundamental data for developing exercise intervention programs for junior high school students. The study subjects were students from five junior high schools in B City. Total 600 questionnaires were distributed, and 554 responded ones were analyzed. The collected data were analyzed using SPSS/Win 10.0. According to the results of analyzing the subjects with the exercise changing stage tool, exercise non-practice group including the precontemplation stage, contemplation stage, and preparation stage occupies 57.6% while the exercise practice group including the action stage and maintenance stage consists of 42.4%. And according to the results of discriminating analysis setting total 10 factors of transtheoretical model variables as predictive factors to predict each group based on whether they practice exercise or not, it was found out that the subordinate factors of the changing process, consciousness-raising (F=33.98, p=.000), self-cognitive decision (F=21.55, p=.000), contrary condition provision (F=84.67, p=.000), helping relationship (F=28.52, p=.000), reinforced thinking (F=14.15, p=.000), and stimulus control (F=54.64, p=.000), and the subordinate factors of the decision-making balance, beneficial factors (F=15.65, p= .000) and hindering factors (F=8.58, p=.004), and self-efficacy (F=78.60. p=.000) were significant predictive factors and discriminating variables. Based on the research findings above, it will be necessary to develop exercise intervention programs sufficiently reflecting the changing process, decision-making balance, and self-efficacy suitably for the subjects and make strategies to encourage their active participation and exercise maintenance, through verifying transtheoretical model variables according to whether the junior high school students practice exercise or not.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.103-109
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• 2007

A controller who is responsible for visitor's safety makes a decision about measures for visitor safety in human-based decision making process. Many potential accidents that are caused by human error lurk in results of the process. The accidents can be decreased by changing the decision making process from human-based into technology-based. Technology-based decision making process can catch a controller's attention through data filtering, alarm filtering, and so on. So, the controller can get information on occurrence of an unforeseen accident pro-actively. Development of 3D SICS is caused of this needs. This paper shows a methodology of this research, results of up to now, study plan of next year, and contribution of 3D SICS development.

• Korean Management Science Review
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• v.14 no.1
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• pp.11-29
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• 1997

This paper presents the better efficient evaluation of the Small and Medium Enterprises by use of fuzzy multi-criteria decision making methodology under intersectional dependence relations. The five Small and Medium Enterprises alternative will be evaluated by Fuzzy Analytic Hierarchy Process(FAHP) based on entropy weight in this study. A case study is presented to illustrate the use of entropy weight measurement with intersectional dependence problems. These problems are evaluated seven criteria : market criteria, thchnology criteria, management ability criteria, planning criteria, propulsion ability criteria, project propulsion basis criteria, propulsion result criteria.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.177-182
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• 1999

With the recent evolutionary progress in network and terminal technologies, current videoconference systems are in the level of practical use. The existing systems, however, would not be fully useful for decision making process since eyes of users can not always be in contact that makes it difficult to read the expression of participants. In this paper, we discuss the principle and the impact of“MONJUnoCHIE System”a videoconference system with eye contact using a special display device called“Glass Vision”.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.265-274
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• 1996

This paper presents the intersectional dependence relations for the better efficient evaluation of the three tactical missile system(T.M.S) by use of multi-criteria decision making methodology. T.M.S alternatives A, B and C will be evaluated by Analytic Hierarchy Process(AHP) based on entropy weight in this study. A numerical example is presented to illustrate the use of entropy weight measurement with intersectional dependence problems. This problems are evaluated five criteria : tacticals criteria, technology criteria, maintenance criteria, economy criteria, advancement criteria.

• Korean Journal of Organic Agriculture
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• v.30 no.2
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• pp.231-239
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• 2022

The purpose of this study is to provide meaningful information for various stakeholders' decision-making process through forecasting of domestic beef demand. Three different exponential smoothing models were evaluated, and a double exponential smoothing model was used to forecast domestic beef demand based on time-series data, As a result of the forecast, domestic beef consumption is expected to increase by 37,000 to 40,000 tons per year from 2020 to 2025.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• KEPCO Journal on Electric Power and Energy
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• v.1 no.1
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• pp.67-71
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• 2015

The concept known as Vehicle-to-Grid (V2G) is to provide power to help balance loads by charging at night when demand is low and sending power to the grid when demand is high. Therefore, it is important to model the cost-benefit characteristics of Electric vehicle(EV)'s operation considering the negawatt market in real time. This paper proposes a methodology to formulate the various costs and economic benefits for sending the EV's power back to the grid, including a concept of inconvenience costs caused by operating the EV as a battery. This paper also introduces the general decision-making process based on the cost-benefit analysis in order to simulate the reasonable participation of V2G service. In the case study, it is confirmed by two-case simulations that the proposed approach is useful to help EV owners' decision-making. In the future, it is expected that the proposed methodology can be used as a decision-making guideline to help prepare the EV' power transmission.