• Title/Summary/Keyword: 의사결정 영역

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Development and Application of Rubric for Assessing Nature of Technology in the Context of Socioscientific Issues (과학기술관련 사회쟁점에 대한 의사결정에서 나타나는 NOT 이해 수준의 평가를 위한 루브릭 개발 및 적용)

  • Lee, Hyunok;Lee, Hyunju
    • Journal of The Korean Association For Science Education
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    • v.37 no.2
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    • pp.323-334
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    • 2017
  • Current science education aims to guide students as future responsible citizens to make informed decisions on socioscientific issues (SSI). In the authors' previous study, it was found that conceptions of nature of technology (NOT) were explicitly represented in various contexts of SSI with differentiated levels of understanding, and cases of the informed NOT understanding included the key features of well-reasoned SSI decision-making. Therefore, enhancing NOT understanding could be one of the elements to leverage students' informed SSI decision-making. In this study, we developed a rubric to assess NOT understanding in the context of SSI and applied it to evaluate the impact of SSI instruction. Participants were 58 college students who took an SSI course for 6 weeks. Before and after the SSI course, they were asked to write decision-making essays on the Golden Rice issue (a type of genetically modified food). As a result of analyzing the pre- and post decision-making essay using the rubric, it was found that NOT understanding was improved after the SSI course; in addition, the salient patterns of NOT changes were analyzed in detail in order to gauge the influence of the SSI classes. Implications for science education were discussed.

The Effects of Specific and Nonspecific Information on Decision Making During Situation Awareness: ERP Study (상황인식 시 구체 및 비구체적 정보가 의사결정에 미치는 영향: ERP 연구)

  • Ryu, Kwang-Min;Kim, Jin-Gu;Kim, Woo-Jong;Lim, Kyung-Shik
    • Korean Journal of Cognitive Science
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    • v.22 no.3
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    • pp.255-270
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    • 2011
  • The purpose of this study was to examine the effects of nonspecific and specific cue on decision making during situation awareness. Participants were 36 male college students who were randomly assigned to one of three groups: (1) nonspecific situation awareness, (2) specific situation awareness, and (3) a control group. Every participant was in the level 3-4.5 according to American National Tennis Level Program. Participants were asked to watch tennis single defence, single offence, double defence rally and when the screen stops, they were required to push the button(left, middle, or right) appropriate for the ball's direction to return as soon as possible. The experiment was designed to be analyzed for group(3)${\times}$condition(3)${\times}$area(7) using three-way ANOVA. The dependent variables were reaction time, accuracy rate, and amplitude and latency of P300. The result showed that the latency of the nonspecific situation awareness group and the specific situation awareness group was shorter and their amplitudes were higher than the control group. Fz, Cz, Pz were prominent among areas, and the single defence condition was more prominent than the single offence and the double defence condition. As a result of the study, it can be suggested that the information about situation awareness provided beforehand directly affects the brain's information processing. In addition, it shows that ERP can be a useful index for studying situation awareness.

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경영의 틀은 시스템을 바탕으로 새로 짜야 한다

  • 정준
    • Product Safety
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    • s.61
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    • pp.12-15
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    • 1998
  • 지난호에 이어 마지막으로 MB상 평가기준상의 7대영역의 기본개념을 살펴보면 이렇다. '리더십'은 비전과 방향을 제시하는 가운데 끊임없는 개선을 통해 전종업원이 고객의 니즈를 충족시키도록 이끄는 일을 뜻하며, '정보'는 현대의 경영상태를 올바로 파악하고 개선할 목적으로 고객정보와 경쟁사정보를 사실에 근거하여 수집평가하고 자사정보와 비교평가함으로써 객관적인 의사결정을 내릴 수 있도록 하는데 그 뜻이 있다.

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An EFASIT model considering the emotion criteria in Knowledge Monitoring System (지식모니터링시스템에서 감성기준을 고려한 EFASIT 모델)

  • Ryu, Kyung-Hyun;Pi, Su-Young
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.107-117
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    • 2011
  • The appearance of Web has brought an substantial revolution to all fields of society such knowledge management and business transaction as well as traditional information retrieval. In this paper, we propose an EFASIT(Extended Fuzzy AHP and SImilarity Technology) model considering the emotion analysis. And we combine the Extended Fuzzy AHP Method(EFAM) with SImilarity Technology(SIT) based on the domain corpus information in order to efficiently retrieve the document on the Web. The proposed the EFASIT model can generate the more definite rule according to integration of fuzzy knowledge of various decision-maker, and can give a help to decision-making, and confirms through the experiment.

Forecasting Bulk Freight Rates with Machine Learning Methods

  • Lim, Sangseop;Kim, Seokhun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.7
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    • pp.127-132
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    • 2021
  • This paper applies a machine learning model to forecasting freight rates in dry bulk and tanker markets with wavelet decomposition and empirical mode decomposition because they can refect both information scattered in the time and frequency domain. The decomposition with wavelet is outperformed for the dry bulk market, and EMD is the more proper model in the tanker market. This result provides market players with a practical short-term forecasting method. This study contributes to expanding a variety of predictive methodologies for one of the highly volatile markets. Furthermore, the proposed model is expected to improve the quality of decision-making in spot freight trading, which is the most frequent transaction in the shipping industry.

Integrity Assessment Models for Bridge Structures Using Fuzzy Decision-Making (퍼지의사결정을 이용한 교량 구조물의 건전성평가 모델)

  • 안영기;김성칠
    • Journal of the Korea Concrete Institute
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    • v.14 no.6
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    • pp.1022-1031
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    • 2002
  • This paper presents efficient models for bridge structures using CART-ANFIS (classification and regression tree-adaptive neuro fuzzy inference system). A fuzzy decision tree partitions the input space of a data set into mutually exclusive regions, each region is assigned a label, a value, or an action to characterize its data points. Fuzzy decision trees used for classification problems are often called fuzzy classification trees, and each terminal node contains a label that indicates the predicted class of a given feature vector. In the same vein, decision trees used for regression problems are often called fuzzy regression trees, and the terminal node labels may be constants or equations that specify the predicted output value of a given input vector. Note that CART can select relevant inputs and do tree partitioning of the input space, while ANFIS refines the regression and makes it continuous and smooth everywhere. Thus it can be seen that CART and ANFIS are complementary and their combination constitutes a solid approach to fuzzy modeling.

Subjectivity Study on Decision Making Elements for Firefighting of Firefighters: An Investigation Utilizing Q Methodology (소방관의 화재대응의사결정요인에 관한 주관성 연구: Q방법론을 활용한 조사를 중심으로)

  • Junghoon Kim;Seung Hoon Ryu;Dongkyu Lee
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.23-42
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    • 2023
  • This study originated from recognition of importance of firefighters' decision-making in fire response, coupled with existing gap in research. By utilizing Q-methodology, the study aimed to categorize firefighters' subjectivity in fire response decision-making. Through this categorization, the study sought to highlight insights into the current technological and data limitations, as well as potential directions for future R&D in the field of firefighting. The findings of the study revealed that firefighters' subjectivity could be classified into three factors: "emphasis on direct information related to rescue," "emphasis on information related to the target property," and "emphasis on information related to command and coordination." The study theoretically confirmed that the subjectivity of firefighters' decision-making in fire response is partially influenced by their experiences and job. Additionally, the study's significance lay in its approach of collecting specific decision-making factors in fire response, moving beyond general theoretical models. Furthermore, from a policy perspective, the typification of decision-making factors contributed to connecting the identified data-based administrative needs from prior studies. Insights from the study emphasized the importance of leveraging on-site experience in Korea to aid decision-making, calling for the development of equipment and data collection methods that can rapidly and accurately assess on-site conditions.

AHP-based Priority Decision Method for Enterprise Ontology System (기업 온톨로지 구축을 위한 AHP기법 기반의 시스템 우선 순위선정 방법)

  • Choi, Byoung-Jin;Kim, Jin-Hyung
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06c
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    • pp.299-302
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    • 2007
  • 최근 기업 정보에 대한 온톨로지 구축 필요성이 대두되면서 기업의 투자 비용과 시간을 고려한 온톨로지 구축 대상 선정을 위한 효율적인 기법이 요구되고 있다. 그러나 기존의 온톨로지 구축 방법론에서 제시한 대상선정 기법은 전체를 대상으로 하거나, 특정 영역만을 대상으로 한다는 한계가 있다. 본 논문에서는 정성적요소를 포함하는 다기준 의사결정에서 정량적인 평가를 지원하는 의사결정지원기법인 AHP(Analytic Hierarchy Process:계층화분석법)기법을 온톨로지 구축 대상 선정에 적용하는 방법을 제안한다. 이러한 방법을 통해 온톨로지 적용대상의 우선순위를 결정지을 수 있으며, 기업의 온톨로지 구축시 목표와 전략에 맞는 대상선정의 정량적 기준을 제공할 수 있다.

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A Study on the Product Innovativeness Affecting SCM Value Chain (공급사슬관리(SCM)의 가치사슬에 영향을 미치는 제품 혁신성에 관한 연구)

  • 김정태;박은미;장주병
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.442-448
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    • 2002
  • 오늘날의 경영환경은 불완전할 뿐만 아니라 경쟁이 심화되어 기업간 경쟁의 범위를 벗어나 공급사슬간의 경쟁으로 옮겨가고 있으며, 정보기술관리과 eBusiness가 급격히 발전하면서 공급사슬관리(SCM)를 최적화하기 위해서는 기업의 경쟁전략과 공급사슬전략 그리고 제품 특성을 반영하여 공급사슬이 설계되고 운영되어야 한다. 본 연구에서는 제품의 특성을 수요 측면을 중심으로 혁신적 제품과 기능적 제품으로 특징지을 수 있는 제품의 혁신성을 측정하고, 제품의 혁신성이 공급사슬 전략에 어떠한 영향을 미치는지 알아보기 위하여 각 공급사슬관리(SCM)의사결정영역에서의 공급사슬관리가 어느 정도 이루어지고 있는가를 살펴봄으로써 전략에서의 차이점을 규명하고자 하였다. 본 연구를 통해 제품의 혁신성이 공급사슬관리(SCM)의사결정영역에 미치는 영향을 검증함으로써, 기업들에게 자사 제품에 대한 전략적 분석 필요성의 개념적 근거를 제시하고자 한다. 또한 제품특성, 제품 전략, 공급사슬 전략, 기업경쟁전략의 연계적 개념을 제공하고 자사의 공급사슬의 효율성과 반응성을 진단할 수 있는 프레임워크를 제공하고자 한다.

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