• 한국지능시스템학회논문지
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• 제25권6호
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• pp.607-614
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• 2015

본 논문은 항공기 정비사의 핵심역량 16개에 대하여 정비능력향상을 목적으로 FSM을 이용하여 구조분석을 실시하여 최상층 3개, 중간층 3개, 하위층 10개로 분류되는 계층별 구조를 핵심역량간의 연결상태와 중요도를 파악하였다. 또한 항공기 정비사의 핵심역량은 업무를 통해서 정비품질 및 생산성이 향상될 수 있다는 관점에서 핵심역량과 업무를 퍼지관계를 이용하여 100명의 항공기 정비사의 설문을 통하여 퍼지관계행렬을 구하여 업무를 평가하는 기준으로 사용하고자 하였다. 본 논문에서는 모델링데이터 100개와 체킹데이터 67개를 사용하여 모델의 유효성을 보였다.

• Journal of Information Processing Systems
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• 제8권4호
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• pp.621-652
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• 2012

Software Estimations provide an inclusive set of directives for software project developers, project managers, and the management in order to produce more realistic estimates based on deficient, uncertain, and noisy data. A range of estimation models are being explored in the industry, as well as in academia, for research purposes but choosing the best model is quite intricate. Estimation by Analogy (EbA) is a form of case based reasoning, which uses fuzzy logic, grey system theory or machine-learning techniques, etc. for optimization. This research compares the estimation accuracy of some conventional data mining models with a hybrid model. Different data mining models are under consideration, including linear regression models like the ordinary least square and ridge regression, and nonlinear models like neural networks, support vector machines, and multivariate adaptive regression splines, etc. A precise and comprehensible predictive model based on the integration of GRA and regression has been introduced and compared. Empirical results have shown that regression when used with GRA gives outstanding results; indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.