• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.461-467
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• 1998

Although many methods of knowledge acquisition has been developed in the expert systems field, such a need for causal knowledge acquisition has not been stressed relatively. In this respect, this paper is aimed at suggesting a causal knowledge acquisition process, and then investigate the causal knowledge-based inference process. A vehicle for causal knowledge acquisition is FCM (Fuzzy Cognitive Map), a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain. Although FCM has a plenty of generic properties for causal knowledge acquisition, it needs some theoretical improvement for acquiring a more refined causal knowledge. In this sense, we refine fuzzy implications of FCM by proposing fuzzy implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approcach, we prototyped a causal knowledge-driven inference engine named CAKES and then experime ted with some illustrative examples.

• 경영정보학연구
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• 제2권1호
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• pp.13-23
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• 2000

• 한국수학교육학회지시리즈A:수학교육
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• 제54권3호
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• pp.207-222
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• 2015

Mathematics preservice teachers' Mathematical Content Knowledge ("MCK") includes not only knowledge for mathematics, but also academic knowledge for school mathematics and mathematical process knowledge. We can consider the items in PISA 2012 as suitable tools to assess process knowledge as well as mathematical content knowledge because these items are developed by competent international educational experts. Therefore, the responses to items with the low percentage of correct answers in conjunction with the mathematical contents were analyzed with focus on FMC. The results showed the reasoning competency in responses using the conditions of the problem and of understanding the conditions after reading the complex problems within the context (i.e. the reasoning and argumentation competency, and communication competency) requires improvements. Furthermore the results indicated the errors due to a lack of ability of devising strategies for problem solving. Based on the foregoing results, the implications towards the directions of the education for the preservice mathematics teachers have been derived.

• 전자공학회논문지
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• 제50권4호
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• pp.83-88
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• 2013

최근 들어 뇌과학적인 연구가 활발해짐에 따라 두뇌기능을 공학적으로 응용하려는 연구가 많아지고 있다. 두뇌 기능 중 기억과 감정을 담당하는 부분을 살펴보면 기억을 담당하는 해마체와 감정중추인 편도체가 긴밀히 협조하고 있는 것을 알 수 있다. 실제적으로 지식은 감정에 영향을 미치고 감정은 지식에 영향을 미친다. 인간의 모든 판단과 결정에 있어서 감정요소는 배제할 수 없는 아주 중요한 영향을 미친다. 보다 정교한 지능 시스템을 구축하려면 감정이 결합된 지식베이스를 설계하여야 한다. 따라서 본 논문에서는 해마체와 편도체의 공조 시스템에 착안하여 지식과 감정이 결합된 지식감정 결합 시스템을 설계하고 기억회상과 추론 과정에서 변화하는 감정 상태의 추이를 감지하는 메커니즘을 제안하고자 한다.

• 한국의류학회지
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• 제29권8호
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• pp.1125-1135
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• 2005

The purpose of this study were to clarify differences in information processing type in relation to the consumer knowledge and involvement of apparel and to clarify differences in demographic characteristics in relation to the information processing type of consumer. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and Quota sampling using age and residential areas was employed. Major statistical methods were Chi square test and discriminant analysis. The results were as follows: 1. Consumer knowledge was found to be significantly related to the classification of information processing type. Low knowledge group tended to process infarmation rationally but high knowledge group utilized both rational and experiential process. 2. Consumer involvement was found to be significantly related to the classification of information processing type. Low involvement group tended to process information passively. High involvement group utilized both rational and experiential process 3. Information processing type was related to consumer's demographic characteristics such as age, education level, marriage, and purchase expense of apparel

• 수산해양교육연구
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• 제21권4호
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• pp.543-555
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• 2009

The characteristic of Web 2.0 is openness, participation, share, cooperation and creation. The purpose of this article was to identify learner based knowledge creation strategy through UCC in Web 2.0, to develop UCC by university students and to make systematic UCC process. This article suggested knowledge creation strategy with UCC learning Community of Practice(CoP). UCC was developed by 25 students who registered e-learning in "P" university and conducted interview with students and experts to analyze the contents which related with research questions. Systematic process for developing educational UCC was consisted of sectors such as idea creation, design, development, implementation and evaluation. Main developing process steps were as follows: making subject$\rightarrow$seeking information$\rightarrow$selecting data$\rightarrow$designing contents$\rightarrow$making story board$\rightarrow$planning of filming$\rightarrow$filming$\rightarrow$digitalizing$\rightarrow$editing$\rightarrow$reviewing final product$\rightarrow$implementing$\rightarrow$evaluating. For learner based knowledge creation through UCC, educational institutions have to provide platform for learners' need, and learners create diverse ideas with UCC CoP. This article suggested knowledge creation strategy with sharing collective intelligence through process of UCC design, development, implement and evaluation.

• 산업공학
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• 제11권2호
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• pp.159-176
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• 1998

In the motor manufacturing system with the properties of short delivery and order based production, the process plan is performed individually for each order by the expert of process plan after the completion of the detail design process to satisfy the specification to be required by customer. Also it is hard to establish the standard process plan in reality because part routings and operation times are varied for each order. Hence, the production planner has the problem that is hard to establish the production schedule releasing the job to the factory because there occurs the big difference between the real time to be completed the process plan and the time to be required by the production planner. In this paper, we study the decision supporting system for the process plan based on knowledge base concept. First, we represent the knowledge of process planner as a database model through the modified POI-Feature graph. Then we design and implement the decision supporting system imbedded in the heuristic algorithm in the client/server environment using the ORACLE relational database management system.

• International Journal of Quality Innovation
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• 제9권2호
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.9-12
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• 2004

Developing an efficient knowledge base construction mechanism as an input method for expert systems (ES) development is of extreme importance due to the fact that an input process takes a lot of time and cost in constructing an ES. Most ES require experts to explicit their tacit knowledge into a form of explicit knowledge base with a full sentence. In addition, the explicit knowledge bases were composed of strict grammar and keywords. To overcome these limitations, this paper proposes a knowledge conceptualization and construction mechanism for automated knowledge acquisition, allowing an efficient decision. To this purpose, we extended traditional knowledge map (KM) construction process to dynamic knowledge map (DKM) and combined this algorithm with relational database (RDB). In the experiment section, we used medical data to show the efficiency of our proposed mechanism. Each rule in the DKM was characterized by the name of disease, clinical attributes and their treatments. Experimental results with various disease show that the proposed system is superior in terms of understanding and convenience of use.

• 지식경영연구
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• 제12권4호
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• pp.77-90
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• 2011

This study examined the effects of knowledge management strategy and structural capital on organizational performance. Structured capital was classified into three dimensions: organizational culture, knowledge process, and information technology. Data were collected from 251 employees in a public institution. Results indicated that organizational knowledge-based strategy was positively related to employees' job satisfaction, and that information technology-based strategy was positively related to customers' satisfaction and institutional image. Results also indicated that organizational culture and knowledge process were positively related to customers' satisfaction, employees' job satisfaction, and institutional image, whereas informational technology was negatively related to customers' satisfaction and institutional image. Finally, the theoretical and practical implications of the results were discussed.