• 대한공업교육학회지
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• v.41 no.1
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• pp.108-127
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• 2016

We confront incessant choices in life. A person or a group stands at a crossroad continuously and make decisions under limited conditions in each time in order to achieve a goal. These series of processions are referred to as decision making and dominates our actions. Based on this view, the decision making is crucial and it secures its own position in school education as well as in real life. The purpose of this study is to develop decision making skills instructional model that can be applied to improve decision making skills in technological subjects. The components of decision making skills in technological education was problem recognition, problem identification, alternative production, alternative assessment, optimum selection, optimum evaluate. An instructional models for improvement of decision making skills in technology education and examination was designed according to the components of decision making skills in technological education. Depending on the components of decision making skills developed a teaching material to experience each step. And in the teaching material was to verify the improved decision-making skill. Accordingly, a decision making instruction model in technology is expected to contribute to enhance students' decision making skills.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.806-809
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• 1993

This paper focuses on the usage of the fuzzy set theory in decision making systems. The approach to calculation of generalized membership function, based on application of method of principal components is proposed. For solving of the problem of fuzzy forecasting the development of Bayes procedure is used. The structure of decision making system, in which following procedures are fulfilled, is discussed.

• Nuclear Engineering and Technology
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• v.50 no.6
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• pp.860-868
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• 2018

This article presents a new design of earthquake instrumentation that is suitable for quick decision-making after the seismic event at the nuclear power plant (NPP). The main objective of this work is to ensure more availability of the NPP by expediting walk-down period when the seismic wave is incident. In general, the decision-making to restart the NPP after the seismic event requires more than 1 month if an earthquake exceeds operating basis earthquake level. It affects to the plant availability significantly. Unnecessary shutdown can be skipped through quick assessments of operating basis earthquake, safe shutdown earthquake events, and damage status to structure, system, and components. Multidecision parameters such as cumulative absolute velocity, peak ground acceleration, Modified Mercalli Intensity Scale, floor response spectrum, and cumulative fatigue are discussed. The implementation scope on the field-programmable gate array platform of this work is limited to cumulative absolute velocity, peak ground acceleration, and Modified Mercalli Intensity. It can ensure better availability of the plant through integrated decision-making process by automatic assessment of NPP structure, system, and components.

• Journal of The Korean Association For Science Education
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• v.33 no.7
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• pp.1418-1430
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• 2013

In this study, we investigated the writing process components and the writing strategies that appeared in the process of argumentative writing through students' think-alouds and semi-structured interviews. The subjects were 18 eighth graders. During argumentative writing, students were asked to decide whether they agreed with the given argument or not on the basis of information provided in the writing task. We categorized the writing process components and the writing strategies by analyzing the protocols of students' think-alouds and interviews, and evaluated the level of their written compositions. The analyses of the results indicated that the writing process components of argumentative writing showed different characteristics from those of problem solving writing in several components such as setting goals, organizing an outline, and evaluating content. In addition, the writing process component 'coordinating information' was newly discovered in argumentative writing. The writing strategies were categorized into four groups by the types of decision making (reflective/intuitive) and the existence of outline organization: Reflective decision making and outline organization, reflective decision making and no outline organization, intuitive decision making and outline organization, and intuitive decision making and no outline organization. Students with the reflective decision making and outline organization strategy were found to get the highest scores in written composition in terms of the relationship between the argument and its grounds, the rebuttal of the opposing argument, and the structure of the writing. Educational implications are discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.434-440
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• 2010

In this paper, we define generalized induced linguistic aggregation operator called generalized induced linguistic ordered weighted harmonic mean(GILOWHM) operator. Each object processed by this operator consists of three components, where the first component represents the importance degree or character of the second component, and the second component isused to induce an ordering, through the first component, over the third components which are linguistic variables and then aggregated. It is shown that the induced linguistic ordered weighted harmonic mean(ILOWHM) operator and linguistic ordered weighted harmonic mean(LOWHM) operator are the special cases of the GILOWHM operator. Based on the GILOWHM and LWHM operators, we develop an approach to group decision making with linguistic preference relations. Finally, a numerical example is used to illustrate the applicability of the proposed approach.

• Journal of Industrial Convergence
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• v.22 no.3
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• pp.79-89
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• 2024

This study is a one-group pre-post experimental design that investigates the effects of a practice-based learning program with multiple components on the clinical competence of nursing students, and clinical decision-making. From May 4 to 29, 2020, a total of 60 third-year nursing students with no clinical practice experience were divided into two teams and participated in multi-component practice-based education for two weeks each, and the data of the final 51 students were included in the analysis. Following the practicum, there was a significant increase in clinical competence (t=-4.74, p<.001) and self-confidence in clinical decision-making (t=-8.41, p<.001), and a decrease in anxiety related to clinical decision-making (t=2.54, p=.014). The findings suggest that a multi-component, practice-based learning approach for nursing students can enhance their clinical competence, reduce preclincal anxiety and increase confidence in clinical decision-making in patient care.

• Journal of Korean Institute of Industrial Engineers
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• v.22 no.4
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• pp.589-605
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• 1996

Recycling of used products and components has been considered as one of promising strategies for resolving environmental problems. In this respect, most manufacturing companies begin to consider possible recycling (e.q., reuse or re-production) of the components contained in their products. The primary objective of this research is to develop a multiple criteria decision making model for systematic management of recycle-oriented manufacturing components. The production planning problem of recycle-oriented manufacturing components is first formulated as a multiobjective mixed 0-1 integer programming model with three conflicting objectives. An interactive multiple criteria decision making method is then developed for solving the mathematical model. Also, an Input/Output analysis software is developed to help practitioners apply the model to real problems without much knowledge on computers and mathematical programming. A numerical example is used in examining the validity of the proposed model and to investigate the impact of the input variables on recycling production strategy.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.83-100
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• 2015

The purpose of this study is to find out the effects of directors' leadership style and the type of decision-making on improving child care teachers' job satisfaction which is essential to operate high-quality nursing. The survey method was used for 184 child care teachers who work for child care centers. The collected data were analyzed using one-way analysis of variance and posteriori test to find out the differences in teachers' job satisfaction according to their recognition of directors' leadership and decision-making. The result showed that differences exist in child care teachers' job satisfaction according to the leadership and decision-making of directors as recognized by the teachers. The score of child care teachers' self-development, work, welfare & social stability related to job satisfaction hit the highest when directors' leadership type was efficiency-centered. Similarly, participatory decision-making type, which is the most ideal type, scored the highest in all sub-components of job satisfaction in the case of directors' type of decision-making. This implies that the directors who prefer positive leadership and democratic participatory decision-making type increase teachers' job satisfaction which will positively affect the child care centers' qualitative development.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.59-67
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• 2012

Software change management is focused on the change of a entity like the change of contents of a system or a document. In change management, interactive relationship among requirements and complex decision making is needed to obtain optimized status. In this paper we design a management model of software change management in distributed environment which mange the change among components by time and situation. In addition, each components are defined and use ANP technique for best decision-making by using the subordinate relationship and feedback considering the mutual dependency referring the change of components in distributed environment. Thus, we analyze the dependency among each components and show 3 types of change relationship. Also through analysis of dependency, we verified the effectiveness of such approach.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.21-40
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• 2019

This paper presents a comprehensive survey of various artificial intelligence (AI) techniques implemented in cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI enables systems to solve problems by emulating human biological processes such as learning, reasoning, decision making, self-adaptation, self-organization, and self-stability. The use of AI techniques is studied in applications related to the major tasks of cognitive radio including spectrum sensing, spectrum sharing, spectrum mobility, and decision making regarding dynamic spectrum access, resource allocation, parameter adaptation, and optimization problem. The aim is to provide a single source as a survey paper to help researchers better understand the various implementations of AI approaches to different cognitive radio designs, as well as to refer interested readers to the recent AI research works done in CRNs.