• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2920-2922
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• 1999

본 논문에서는 유리 용해로의 온도 제어 문제에 있어서, 퍼지 이론의 응용 방식을 제시한다. 유리용해로의 동특성을 분석하고, 이에 적합하도륵 기존 고전적인 제어기와 퍼지 로직을 결합하는 알고리듬을 제시한다. 제시된 제어기는 실제 용해로의 생산공정에 효율적으로 적용되었다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.329-332
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• 2008

Type-2 퍼지 집합은 언어적인 불확실성을 다루기 위하여 Zadeh에 의해 제안되었고 Mendel과 Kamik에 의해 이론이 체계화 되었다. TSK 퍼지 로직 시스템(TSK Fuzzy Logic Systems; TSK FLS)은 Mamdni 모델과 함께 가장 널리 사용되는 퍼지 로직 시스템이다. 본 논문에서는 Type-2 퍼지 집합을 이용하여 전반부 멤버쉽 함수를 구성하고 후반부 다항식 함수를 상수와 1차식, 2차식으로 확장한 다항식 Type-2 TSK FLS 설계한다. 또한 가스로 공정 데이터에 응용하여 후반부 다항식의 변화에 따른 Type-2 TSK FLS의 특징을 비교 분석 할 뿐 만 아니라 테스트 데이터에 노이즈를 첨가하여 노이즈에 따른 Type-l TSK FLS과 Type-2 TSK FLS의 특성을 분석한다.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.609-611
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• 1999

산업현장의 제어기들은 센서들로부터 수집된 다양한 형태의 신호들을 처리한다. 이 신호들은 고정된 값을 가지지 않고 물리적으로 변화하는 특성을 가진다. 이와 같이 변화하는 값을 처리하는 방법으로 다양한 형태의 연구가 진행되고 있고, 그 한 분야로 퍼지(Fuzzy)이론을 바탕으로 한 퍼지 제어 시스템에 대한 연구가 활발하게 진행되고 있다. Fuzzy PLC 시스템은 현재 초기단계 형태로 개발되어 사용되고 있으며 그 응용 방법도 조금씩 보급되고 있는 실정이다. 본 논문은 변화하는 값들에 대해 간결하고 적절한 제어를 수행 할 수 있는 기 개발된 Fuzzy PLC 시스템을 이용한 플랜트 제어에 대한 연구이다. 크레인(Crane) 제어용으로 사용한 Fuzzy PLC 시스템은 Moeller사의 FT4-400-MM2 PLC 모듈이다. 본 시스템을 이용하여 대상 플랜트인 크레인을 제어하는 퍼지 함수 로직을 개발하고, 입 출력 제어 프로그램 기법에 대하여 연구한다. 또한 퍼지 제어 시스템을 이용한 퍼지 제어 기법을 개발하는 과정에 대하여 소개한다. 결론적으로 Fuzzy PLC System 개발 및 응용 모델로서 제안하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.8C
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• pp.1149-1158
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• 2004

In this thesis, we created a Fuzzy rule in a Fuzzy logic that are Fuzzy logic which is composed of linguistic rules and Fuzzy inference engine for effective traffic control in ATM networks. The parameters of the Fuzzy rules are adapted to minimize the given performance index in both cases. In other words, the difuzzification value controls the threshold in the buffer to arrival ratio to traffic priority (low or high) using fuzzy set theory for traffic connected after reasoning. Also, show experiment result about rule by MATLAB6.5 and on-line bulid-up to verify validity of created Fuzzy rule. As a result, we can verify that threshold value in buffer is efficiently controlled by the traffic arrival ratio.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.10
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• pp.69-77
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• 2004

In this thesis, we created a Fuzzy rule in a Fuzzy logic that are fuzzy logic which is composed of linguistic rules and Fuzzy inference engine for effective traffic control in ATM networks. The parameters of the Fuzzy rules are adapted to minimize the given performance index in both cases. In other words, the difuzzification value controls the service rate in the server to total traffic arrival ratio and buffer occupancy ratio using fuzzy set theory for traffic connected after reasoning. Also, show experiment result about rule by MATLAB6.5 and on-line bulid-up to verify validity of created Fuzzy rule. As a result, we can verify that service ratio in server is efficiently controlled by the total traffic arrival ratio and buffer occupancy ratio.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.3
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• pp.264-269
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• 2001

In this paper, we interpret a score as a time series and deal with the fuzzy logic-based modeling of it. The musical notes in a score represent a lot of information about the length of a sound and pitches, etc. In this paper, using melodies, tones and pitches in a score, we transform data on a score into a time series. Once more, we foml the new Lime series by sliding a window through the time series. For analyzing the time series data, we make use of the Box-Jenkins s time series analysis. On the basis of the identified characteristics of time series, we construct the fuzzy model.

• Journal of Power System Engineering
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• v.5 no.2
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• pp.87-92
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• 2001

Automotive suspension system is a mechanism for isolation of the vibration coming from the road inputs. Recently, the electronically controlled suspension systems which may improve ride and handling performance have been developed. Here, the continuously controlled semi-active suspension system is focused. As a mechanism to control damping forces continuously, a solenoid valve is used. The modeling for the solenoid valve is introduced briefly, a vehicle dynamics modeling is constructed, and then combined system model is completed. To design the efficient control algorithm for the semiactive suspension system the knowledge based fuzzy logic is applied and the technique how to apply the sky-hook theory to the fuzzy logic is developed. Finally, to confirm the improvement of performance the computer simulation is carried out.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.57-73
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• 2006

This paper describes a methodology for automating the material handling equipment (MHE) evaluation and selection processes by combining knowledge-based rules and fuzzy multi-criteria decision making approach. The methodology is proposed to solve the MHE selection problems under fuzzy environment. At the primary stage, the most appropriate MHE type among the alternatives for each material flow link is searched. Knowledge-based rules are employed to retrieve the alternatives for each material flow link. To consider and compare the alternatives, multiple design factors are considered. These factors include both quantitative and qualitative measures. The qualitative measures are converted to numerical measures using fuzzy logic. The concept of fuzzy logic is applied to evaluation matrices used for the selection of the most suitable MHE through a fuzzy linguistic approach. Thus, this paper demonstrates the potential applicability of fuzzy theory in the MHE applications and provides a systemic guidance in the decision-making process.

• Proceedings of KOSOMES biannual meeting
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• 2004.05b
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• pp.1-6
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• 2004

This paper suggests an evaluation of risk level for damage of marine accidents in SRRs. Qualitative analyses in words is sometimes priorior to quantative analyses in numeric symbols. This paper intoduces a concept of fuzzy theory with the plenty of related literature review and AHP in the Korean SRRs of RCC and RSC. The methodology of this paper is max . min composition of fuzzy extensive principle, defuzzifiation is centroid of gravity methods. At the result, the evaluation of risk level is especially over Serious for smarine accident of Taean, Gunsan, Mokpo, Yosu, Tongyoung, Busan SRR. This paper recommends that many Rescue Vessels and Equipments need to the reduction of risk level about those.

• Journal of the Korea Society of Computer and Information
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• v.19 no.8
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• pp.11-18
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• 2014

In This paper, we propose the unsupervised learning and fuzzy logic-based coupled data classification method base on ART. The unsupervised learning-based data classification helps improve the grouping technique, but decreases the processing efficiency. However, the data classification requires the decision technique to induce high success rate of data classification with optimal threshold. Therefore it is also necessary to solve the uncertainty of the threshold decision. The proposed method deduces the optimal threshold with the designing of fuzzy parameter and rules. In order to evaluate the proposed method, we design the simulation model with the GPCR(G protein coupled receptor) data in cloud computing environment. Simulation results verify the efficiency of our method with the high recognition rate and low processing time.