• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.2
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• pp.222-230
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• 2003

Once the medical knowledge-based system has been developed, it is essential to investigate the knowledge sources of the system because knowledge sources can affect the performance of the system in great deal. This paper presents the method and the results of the reliability test done on the medical knowledge-based system CLINAID. A knowledge source tested is Cardiovascular body system data used in CLINAID. The reliability test will be done by investigating structural relationships revealed by fuzzy relational method between the components of the knowledge sources of individual body systems using syndromes as its main component. These partitions are going to be compared with the syndromes elicited from the medical experts. This paper also reports the outcome of the computations using 7 implication operators performed on Cardiovascular body system data.

• The Journal of Information Systems
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• v.18 no.3
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• pp.135-154
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• 2009

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

• Knowledge Management Research
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• v.20 no.3
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• pp.49-71
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• 2019

This study explores the role of knowledge sharing between their social capital and performance in R&D setting. R&D environment is composed of experts from various domains with different backgrounds, such as technologies and experiences. Thus, increasing team social capital and enhancing knowledge sharing are critical for R&D performance. Social capital and Knowledge sharing are classified into two : Social capital and Knowledge sharing within/outside team. A empirical study was conducted at a research institute of large company that leads the advanced research and development of the domestic chemical industry. Data was collected 292 copies out of 500 copies (Response rate 58.4%). The result indicated that both social capital within and outside team had a positive effect on R&D Performance. Social capital within team had a significant impact on knowledge sharing within the team only, and social capital outside team had a significant effect on knowledge sharing outside the team only. Only knowledge sharing outside the team had a positive effect on R&D Performance and the mediating role of knowledge sharing was acquired for social capital outside team and R&D Performance only. From these key findings, this study suggests that, within the team, social capital alone can achieve results, but outside the team, it is necessary that not only social capital but also knowledge sharing are needed in order to achieve results.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.6 s.150
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• pp.700-706
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledge and data. But, they don't have data mining tool to utilize accumulated data. This paper treats development of data mining tools for the utilization of shipbuilding knowledge based on genetic programming(GP).

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.5
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• pp.111-118
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• 2018

The effects of the Fourth Industrial Revolution on manufacturing are spreading by policies to secure or strengthen the manufacturing competitiveness of each country. Strengthening policies on manufacturing necessitate nurturing manpower for smart manufacturing. This study examines the difference of the experts' perception about the educational curriculum to develop the knowledge of Product Lifecycle which covers the whole knowledge area of product development among the knowledge areas aimed at fostering the manpower of smart manufacturing for the $4^{th}$ Industrial Revolution Era. Experts were aware that future developments in digital development, production, and new product development are most important, and that they feel that the whole knowledge area is generally weak. In this study, the implications for the development of educational curriculum in the future are derived from the perception difference of knowledge on Product Lifecycle obtained through expert survey.

• Korean Journal of Child Studies
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• v.23 no.2
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• pp.89-105
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• 2002

This study investigated characteristics and types of ideal maternal behaviors in three different cultures : Korea, the United States, and France. The 18 experts from each of the 3 cultures who participated in this study had knowledge and experience related to infant development and parenting. Based on the principles of Q-methodology, the experts sorted 40 Q-items representing maternal behavior related to infancy. After rating each item on a scale from "least desirable" to "most desirable" maternal behaviors, the experts described their reasons for the classification. Results identified some clear similarities and differences among cultures. pooled responses yielded 3 types of ideal maternal behaviors: perfective, child centered, and realistic perspective.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.05a
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• pp.774-779
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• 2001

If rotating machinery have a fault, we can detect it using vibration or noise signals. However some maintenance engineers who doesn't have expert knowledge, needs the help of vibration experts for diagnosing rotating machinery. But qualified experts are rare, therefore we have been developed the case based reasoning (CBR) system which is able to manipulate the past experiences of vibration diagnosis experts. In the CBR system, the maintenance engineers can retrieve too information from previous cases which are most similar to new problem and they can solve new problem using solutions from the previous cases. In this paper, we propose a new method which is the case retrieval of CBR system using Petri net and we also applied it to diagnosis for electric motors as a practical problem.

• Journal of Information Management
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• v.33 no.3
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• pp.27-43
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• 2002

This paper has attempted to identify use status of information reproduction in the library and information center. At the same time, it investigated how information experts understanding about the copyright protection and information experts' knowledge to relate items of the copyright law.

• Nuclear Engineering and Technology
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• v.53 no.11
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• pp.3675-3684
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• 2021

Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.223-237
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• 2005

This paper explains that tacit knowledge is a critical component for the success of government-led R&D project selection, where rapid and accurate decision making need to be made under lack of information circumstances. It also explores ways to fully exploit the tacit knowledge of experts participating in the Korean government's R&D project selection process. Some of these include: (1) strategic attention from the top officials, (2) forming self-organizing teams, (3) establishing a horizontal and risk-taking culture, (4) encouraging a sense of responsibility in creating and sharing tacit knowledge, and (5) providing a seamless monitoring system and training.