• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.523-528
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• 2002

기존의 자기 주도적 학습 평가들은 대부분의 선다형 또는 단답형 문항에 대해서 학습평가가 시험 점수로 제공되고, 학습 평가의 정도를 객관적으로 평가 할 수 얼어 학습의 효율성에 대해서 부정적인 시각도 있다. 본 논문에서는 학습자 스스로가 학습 능력 평가를 객관적으로 평가하기 위해 퍼지 이론의 삼각형 타입 소속 함수를 이용한 자기 주도적 학습 평가 방법을 제안한다. 제안된 자기 주도적 학습 평가 방법은 학습에 대해 시험 결과를 세 개의 퍼지 등급으로 분류하여 소속도를 계산하고 퍼지 등급표를 적용하여 최종 퍼지 등급도에 따라 시험 결과를 평가하는 방법을 제시한다.

• Tunnel and Underground Space
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• v.11 no.4
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• pp.289-300
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• 2001

In the design of tunnel, it contains inaccuracy of data, fuzziness of evaluation, observer error and so on. The face observation during tunnel excavation, therefore, plays an important role to raise stability and to reduce supporting cost. This study is carried out to minimize the subjectiveness of observer and to exactly evaluate the natural properties of ground during the face observation. For these purpose, fuzzy set theory and neuro-fuzzy techniques in artificial intelligent techniques are applied to the inference of the RMR value from the observation data. The correlation between original RMR vague and inferred RM $R_{_FU}$ and RM $R_{_NF}$ values from fuzzy set theory and neuro-fuzzy techniques is investigated using 46 data. The results show that good correlation between original RMR value and infected RM $R_{_FU}$ and RM $R_{_NF}$ value is observed when the correlation coefficients are ｜R｜=0.96 and ｜R｜=0.95 respectively. From these results, applicability of fuzzy set theory and neuro-fuzzy techniques to rock mats classification is proved to be sufficiently high enough. enough.

• Computational Structural Engineering
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• v.3 no.4
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• pp.5-9
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• 1990

오늘날 많은 공학적인 문제들이 지난 수십년간 발전되어온 확률이론에 근거하여 점차적으로 개선되고 있다. 그러나 공학분야에서의 불확실성을 확률론에 의거하여 해결하는 방법이 많은 분야에서 발전을 가져왔지만, 정확히 규명되지 않은 분야에서의 불확실성의 취급에는 확률론과 같은 전통적인 방법만으로는 해결하기 곤란한 분야가 있다. 퍼그리(Pugsley)는 이러한 불확실성을 "Engineering Climatoloty"라고 표현하였으며, 기술자의 경험과 판단에 의하여 평가되어야 한다고 하였다. 본 글에서는 퍼지이론의 기본개념을 설명하고, 퍼지이론의 응용에 관하여 고찰해 보기로 한다.

• Journal of Energy Engineering
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• v.6 no.1
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• pp.19-25
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• 1997

This paper presents the short-term operation scheduling on cogeneration system connected with auxiliary equipment by using the possibility fuzzy theory. The possibility fuzzy theory is a method to obtain the possibility boundary of the solution from the fuzzification of coefficients. Simulation is carried out to obtain the boundary of heat production in each time interval. Simulation results show the flexible operation boundary to establish effectively operation scheduling.

• The Journal of the Acoustical Society of Korea
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• v.23 no.4
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• pp.296-302
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• 2004

Acoustic experiments are performed for a seafloor classification from 19 May to 25 May 2003. The six different sites of bottom composition are settled and the bottom reflection losses with frequencies (30, 50, 80. 100, 120 kHz) are measured. Sediment samples were collected using gravity core and the sample was extracted for grain size analysis. The fuzzy logic is used to classify the seabed. In the fuzzy logic. Bottom 1083 model of frequency dependence is used as the input membership functions and the output membership functions are composed of the Wentworth grain size of the bottom. The possibility of the seafloor classification is verified comparing the inversed mean grain size using fuzzy logic with the results of the coring.

• International Journal of Highway Engineering
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• v.13 no.1
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• pp.69-77
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• 2011

This study is to suggest a methodology to overcome the uncertainty and lack of reliability of data. The fuzzy reasoning model and the neural network model were developed in order to overcome the potential lack of reliability which may occur during the process of data collection. According to the result of comparison with the Poisson regression model, the suggested models showed better performance in the accuracy of the accident frequency prediction. It means that the more accurate accident frequency prediction model can be developed by the process of the uncertainty of raw data and the adjustment of errors in data by learning. Among the suggested models, the performance of the neural network model was better than that of the fuzzy reasoning model. The suggested models can evaluate the safety of signalized intersections in operation and/or planning, and ultimately contribute the reduction of accidents.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2004.06a
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• pp.15-24
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• 2004

본 논문은 be동사에 관한 학생들의 영어개념 이해에서 발생되는 오인을 진단할 수 잇는 학습오인 진단 시스템을 제시한다. 학습오인 진단 시스템에서 퍼지 인진 맵은 영어에 대한 학생들이 가지는 선입개념들과 오인들을 인과관계로 표현하며, 개념간의 인과관계를 기억할 수 있는 퍼지 연상 메모리를 통하여 오인의 원인들을 진단한다. 본 연구는 기존의 학습 오인을 진단하는 규칙기반 전문가 시스템의 한계성을 극복할 수 있는 새로운 방법을 제공하며, 교육분야의 다양한 영역에서 학습자들의 학습 진단을 위한 학습오인 진단 시스템으로 적용될 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.5
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• pp.853-862
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• 2003

With the data base subject of first grade paper test of information handling technician, We proposed special method of evaluating learning ability directivity to judge that student can understand the contents of each chapter exactly or not, using assigned function and fuzzy deduction in this thesis. Using fuzzy logic, the proposed method of evaluating learning ability is dividing the presenting frequency of setting questions for examination about the subject of database into three rank and we can define this as the important. We applied the fuzzy assigned rate about the number of times of studying through the important of studying and the fuzzy assigned rate about formative evaluation to each of nine fuzzy deduction theories and than evaluated comprehension rate of learning. With the fuzzy grade about learning comprehension of each chapter and assigned rate about the score of generalized evaluation; We applied these two thing to the deduction rule of fuzzy and made it as defuzzifier and finally evaluated learning. We made that the result of eventual evaluating learning is very useful for learners to diagnosis learned contents by themselves and also it can be great material to judge that learners can get the goal of learning or not synthetically.

• Journal of Radiation Protection and Research
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• v.19 no.2
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• pp.109-120
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• 1994

A method for estimating the effectiveness of each protective action against a nuclear accident has been proposed using the fuzzy set theory. In most of the existing countermeasure models in actions under radiological emergencies, the large variety of possible features is simplified by a number of rough assumptions. During this simplification procedure, a lot of information is lost which results in much uncertainty concerning the output of the countermeasure model. Furthermore, different assumptions should be used for different sites to consider the site specific conditions. Tn this study, the diversity of each variable related to protective action has been modelled by the linguistic variable. The effectiveness of sheltering and evacuation has been estimated using the proposed method. The potential advantage of the proposed method is in reducing the loss of information by incorporating the opinions of experts and by introducing the linguistic variables which represent the site specific conditions.

• Environmental and Resource Economics Review
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• v.15 no.5
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• pp.921-937
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• 2006

In this paper, we apply fuzzy theory in a discrete choice Contingent Valuation Method(CVM) in order for dealing preference uncertainty problem. Fuzzy membership function is used in an empirical analysis to estimate the willingness-to-pay(WTP) for the preservation of the endangered Asiatic Black Bear in Korea. The estimated WTP was about 9,090 Korea Won per household with 78 percent of confidence level. The advantage of applying fuzzy theory in the valuation method could be found in its ability to measure the confidence level of the estimated WTP.