• Title/Summary/Keyword: Decision-making processes

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A Comparative Study of Image Recognition by Neural Network Classifier and Linear Tree Classifier (신경망 분류기와 선형트리 분류기에 의한 영상인식의 비교연구)

  • Young Tae Park
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.5
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    • pp.141-148
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    • 1994
  • Both the neural network classifier utilizing multi-layer perceptron and the linear tree classifier composed of hierarchically structured linear discriminating functions can form arbitrarily complex decision boundaries in the feature space and have very similar decision making processes. In this paper, a new method for automatically choosing the number of neurons in the hidden layers and for initalzing the connection weights between the layres and its supporting theory are presented by mapping the sequential structure of the linear tree classifier to the parallel structure of the neural networks having one or two hidden layers. Experimental results on the real data obtained from the military ship images show that this method is effective, and that three exists no siginificant difference in the classification acuracy of both classifiers.

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Algorithmic Framework for Business Process Innovation

  • Han Hyun-Soo
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.1142-1149
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    • 2003
  • Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on Implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic or process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming. cause-and-effect analysis. and so on. In this paper, we focused on developing analytic framework to design to-be business process structure. which can complement qualitative problem solving procedures. With effective use of IT as an enabler, we provide algorithmic framework applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework follows dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research ran fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

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Key Success Factor For Korea high speed Track Maintenance Decision Making Support System (고속선 궤도관리 의사결정지원 시스템 개발을 위한 성공요인)

  • Kim, Jong-Kyong;Lee, Choon-Kil;Woo, Byoung-Koo;Kim, Nam-Hong;Lee, Sung-Uk
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.486-493
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    • 2007
  • In the field of maintenance of domestic high-speed railroad which has cost a great deal more than any other fields since it was opened; 1) We found out the conditions of current domestic railroad by understanding the status of track maintenance and analyzing operative processes of track maintenance. 2) The main factors in track maintenance of high-speed railroad, that is, the elements for success to help decision-support in track maintenance were derived from a research on literature about the condition of railroad R&D in these days and about the prediction of the irregular progresses of track. 3) We derived the order of priority and weights from AHP analysis which was based on the survey regarding elements for success.

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Using the MCDM of the Innovative Product Value Chain to Promote New Product Design

  • Liao, Shih-Chung
    • Asian Journal of Business Environment
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    • v.4 no.3
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    • pp.27-37
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    • 2014
  • Purpose - In the past, designs for traditional products have usually focused on historic techniques. However, this tradition of using historic techniques has now been replaced by the trend of using the innovative design concept. Research design, data, and methodology - To measure future market trends and quality requirements, we apply the results of the questionnaires and analyze them with various experimental processes and a design methodology. In this way, we gauge the impact of the innovative product value chain on the promotion of new products. Results - Accompanied with an innovative product value chain, the product can stimulate the development of enterprise management, which has become the main issue in social and economic development in every developed country, and can facilitate the progress of enterprise management throughout the enterprise. Conclusions - Customer demand should be emphasized as the primary means to solve design problems, to design optimal solutions, to create differentiation with competitors, and to pursue optimal marketing strategies.

The Effectiveness of Graphical Feedback in Forecasting Support Systems (예측 지원 시스템과 그래프 피드백 응용의 효과성)

  • Im, Jwa-Sang;Jeong, Chung-Yeong
    • Asia pacific journal of information systems
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    • v.5 no.1
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    • pp.164-185
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    • 1995
  • A considerable number of empirical studies have been conducted into the impact of graphical presentation of information on decision making performance. Very limited attention has been, however, devoted to the role of graphs as a means of delivering feedback. This paper investigated this issue by varying the presentation formats of outcome feedback in time series forecasting contexts. It was found that overall feedback was not decision-effective. Even enlarged and more salient feedback was of little value to overcome the conservative behavior. The results doubted the efficacy of graphical feedback in the design of EIS/DSS. Feedback did not appear to be a simple mechanism and further research is required to investigate its cognitive processes.

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A System of Manufacturing Sustainability Assessment for Production Plan (생산계획의 제조지속가능성 평가 시스템)

  • Lee, Ju Yeon;Ahn, Kyeong Rim
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.1
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    • pp.17-27
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    • 2014
  • The number of manufacturing companies that demand the ability to assess sustainability in their manufacturing system is rapidly increasing. However, there are still difficulties in assessing their sustainability in manufacturing for decision-making since it is not easy to determine a single index of sustainability in an operational way. To address these difficulties, this paper proposes an operational guidance and system to assess sustainability of production plan as a single index. The IDEF0 model was defined to explain processes and their input, output, control, and mechanism for sustainability assessment. A prototype system was developed based on the concepts presented in the IDEF0 model, and applied to a case study. To conclude, the prototype system proposed in this paper can help manufacturing companies assess sustainability of their production plans and make a decision using a single value resulted from that assessment.

A New Product Development Using Robust Design and Decision Making Process

  • Lin, Than;Doan, Trieu An;Vu, Ngoc Anh;Cho, Guk-Hyun;Lee, Jae-Woo;Byun, Yung-Hwan
    • Journal of the Korean Society of Systems Engineering
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    • v.3 no.1
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    • pp.41-48
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    • 2007
  • This paper presents a design methodology for developing a new push scooter. A case study is clone with effective planning processes to ensure the product quality under the different phases of a product design process. Parametric model based design process simulation and optimization is implemented by using ANSYS application tool. The relationship matrix and decision matrix are drawn by using several methods. The simulation results for deterministic design and robust design are compared. This entire design process phase can support the design and quality improvements for a new product development.

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Bankruptcy Prediction with Explainable Artificial Intelligence for Early-Stage Business Models

  • Tuguldur Enkhtuya;Dae-Ki Kang
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.58-65
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    • 2023
  • Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.

E-Governmentfor Efficient Governance: Instructive Cooperation of the Republic of Belarus and the Republic of Korea in the Sphere of e-Government

  • Tchouechov, Viktor I.;Zhmakina, Tatiana V.
    • Korea Multimedia Society
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    • v.22 no.1
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    • pp.26-33
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    • 2018
  • The transformation of the processes of governance using the Information and Communication Technologies is aimed at bringing in faster and transparent service delivery, accountability, information sharing and people participation in the decision-making and government processes. The implementation of e-Government requires a comprehensive strategy that is not only sensitive to existing political and economic conditions and realities but is also benchmarked on global best practices. The article reviews the handbook E-Government and Governance Efficiency that provides an insight to research that is being undertaken in the e-Government area, gives an in-depth understanding of critical issues involved in e-Government, and provides expert opinion and recommendations for the Republic of Belarus to augment its potential. It studies the Korean experience on e-Government with special focus on such concepts as e-Government benchmarking, mGovernment, Smart Government and u-Government.

A typology of Collaboration Modes for Scientific and Technological Knowledge Production and Sharing (과학기술지식 생산과 공유를 위한 협력 유형분류체계)

  • Hwang, Kumju
    • Knowledge Management Research
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    • v.11 no.2
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    • pp.133-152
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    • 2010
  • This paper suggests a typology of the modes of collaboration for scientific and technological knowledge production and sharing (STKPS) based on knowledge communication types, including organizational factors, communication channel, intensity, and decision-making, that affect STKPS processes. It is mainly designed to rearrange ideas about collaboration drawn from the literature in order to develop a conceptual framework for categorizing modes of collaboration based on how communication patterns shape four modes of collaboration. In the conclusion and discussion part, practical implications, limitations of this study, and further studies are discussed. In particular, the practical implications propose communication patterns suitable for five stages of collaboration processes. As the collaboration initiation or set-up stage is critical, extensive face-to-face communication is recommended in the auditing stage. In the execution stage, media-based communication can be actively utilized, because collaborators will mostly exchange explicit codified knowledge supported by IT. The evaluation and reinforcement stages concentrate on tacit knowledge exchange and explicit knowledge evaluation, which requires intensive face-to-face communication including negotiations for evaluating collaboration outcomes and partnership.

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