• 한국학교수학회논문집
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• 제1권1호
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• pp.29-34
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• 1998

We proposed the teaching method about the logical inference in highschool using Logic Network. This method that we proposed is better than Vendiagram method because that is able to represent the more conditions in plane. The contents of this paper explained the method that conclusion is drived from given conditions using Logic Network. And we gave some examples of the process of logical inference.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.863-868
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• 1992

This paper presents a method on applying Genetic Algorithm(GA), which is a well-known high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilizes Sugeno's hybrid inference method, which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the optimal parameters in the FLC. The proposed approach will be demonstrated using 2 d.o.f robot manipulator to verify its effectiveness.

• 한국지능시스템학회논문지
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• 제2권3호
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• pp.58-67
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• 1992

This paper presents a method on applying Genetric Algorithms(GA), which is a well-know high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilized Sugeno's hybrid inference method. which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the iptimal parameters in the FLC. The proposed approach will be demonstrated using 2 d. o. f robot manipulator to verify its effectiveness.

• 대한한의학원전학회지
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• 제19권4호
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• pp.202-211
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• 2006

From the study on A Study on A Study on Formation of Oriental Medicine Theory based on Analogical Inference, the conclusion is as follows. Analogical inference belonging to informal logic has very important point that it makes new knowledges of unknown field from basis of common knowledge field. The form of Analogical Inference is "A: a-B: (b)", In "Naegyeong(內經)", models of analogy are classified into two types. One is that of analogical inference making new knowledges in company with effects of Heung-gi(興起), Another is to unite common knowledges, While the example of analogy between military science and medicine belongs to type of the former, example of bureaucracy and medicine belongs to type of the latter, that based on rearrangement of common knowledge. Two type have similar system of national government or military management in basis. In such process of analogical inference, we expect that new knowledges of Oriental Medicine would be accumulated in the future, in the same way of the past.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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• pp.675-677
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• 1998

In this paper, we propose the fuzzy inference algorithm with multi-layer structure. MFIS(Multi-layer Fuzzy Inference System) uses PNN(Polynomial Neural networks) structure and the fuzzy inference method. The PNN is the extended structure of the GMDH(Group Method of Data Hendling), and uses several types of polynomials such as linear, quadratic and cubic, as well as the biquadratic polynomial used in the GMDH. In the fuzzy inference method, the simplified and regression polynomial inference methods are used. Here, the regression polynomial inference is based on consequence of fuzzy rules with the polynomial equations such as linear, quadratic and cubic equation. Each node of the MFIS is defined as fuzzy rules and its structure is a kind of neuro-fuzzy structure. We use the training and testing data set to obtain a balance between the approximation and the generalization of process model. Several numerical examples are used to evaluate the performance of the our proposed model.

• 한국산업융합학회 논문집
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• 제5권2호
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• pp.111-118
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• 2002

In GMAW(Gas Metal Arc Welding) processes, bead geometry (penetration, bead width and height) is a criterion to estimate welding quality, Bead geometry is affected by welding current, arc voltage and travel speed, shielding gas, CTWD (contact-tip to workpiece distance) and so on. In this paper, welding process variables were selected as welding current, arc voltage and travel speed. And bead geometry was reasoned from the chosen welding process variables using neuro-fuzzy algorithm. Neural networks was applied to design FLC(fuzzy logic control), The parameters of input membership functions and those of consequence functions in FLC were tuned through the method of learning by backpropagation algorithm, Bead geometry could he reasoned from welding current, arc voltage, travel speed on FLC using the results learned by neural networks. On the developed inference system of bead geometry using neuo-fuzzy algorithm, the inference error percent of bead width was within ${\pm}4%$, that of bead height was within ${\pm}3%$, and that of penetration was within ${\pm}8%$, Neural networks came into effect to find the parameters of input membership functions and those of consequence in FLC. Therefore the inference system of welding quality expects to be developed through proposed algorithm.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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• pp.105-111
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• 2009

RGB 모델을 통한 정적인 추론 규칙을 적용한 기존의 색채 정보 인식 방법은 RGB모델이 가지는 인간 시각과의 괴리감과 특정한 환경에서만 적용할 수 있는 문제점이 있다. 본 논문에서는 HSI 모델을 적용하여 색채에 대한 인간 인식 과정과 유사한 형태의 추론 방식과, 사용자에 의해서 추론규칙을 추가, 수정, 삭제 할 수 있는 방법을 제안한다. 본 논문에서는 H, S, I 각각의 소속구간에 대하여 H는 Sine, Cosine 함수를 사용하여 소속구간을 설계하였으며, S, I는 삼각 타입의 소속 함수로 설계하였다. 설계된 각각의 소속구간에 대하여 소속구간 병합을 적용하여 소속도를 계산하고, 계산된 결과들은 미리 제시된 추론규칙에 적용하여 색채를 추론한다. 제안된 두 가지 방법을 적용하여 실험한 결과, 기존의 방법보다 제안된 방법이 비교적 직관적이며 효율적인 형태로 결론을 도출할 수 있음을 확인하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2007년도 춘계학술대회 논문집
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• pp.785-786
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• 2007

• 한국정밀공학회지
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• 제11권1호
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• pp.80-88
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• 1994

In the automation of rigid parts mating process with the intelligent robots, Peg-In-Hole is the most available task since inserting is some analytic and needs suitable range of forces that can be controlled by induatrial manipulators. In this Peg-In-Hole process, it is very important to identify the contact state between tow parts, peg and hole, to build the strategies for robot motion that leads to avoid the jamming condition occurs during insertion process. In this paper, we adpopted 3 parameters for identification, lFzl, lFxy/Fzl, and lMxy/Fxyl, derived from axes value of Whitney's jamming diagram. Also, we defined the fuzzy membership functions for these parameters and developed the identification algorithm based on fuzzy inference method of max-product. As an experimental result, we obtained about 96% of identification ratio that could be raised up to industrial requirements by further research.

• 한국정보처리학회논문지
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• 제4권4호
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• pp.1025-1034
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• 1997

레졸루션(resolution)에 근거한 자동화된 추론 방법은 실제로 결론 도출에 필요 하지 않은 중간 정보를 생산하고, 또한 이런 정보가 또 다른 불 필요 정보를 생산함으로써, 컴퓨터 주기억 공간 잠식이 문제점으로 나타난다. 주어진 문제의 상황을 설명하는 모든 입력절로부터, 실제로 결론의 도출에 참여할 가능성이 낮은 입력절을 추론에의 참여를 제한하여, 소모하는 기억공간과 추론 시간을 감소시키는 조절 전략을 제안한다. 주어진 입력절을 분석하여, 실제로 추론에 참여하는 정도의 우선 순위를 결정하는 도구로서 퍼지 관계 논리곱을 이용한다.