• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.40.6-40
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• 2001

Fuzzy controls are widely used in industrial fields using experts knowledge base for its high degree of performance. Genetic Algorithm(GA) is one of the numerical method that has an advantage of optimization. In this paper, we present an acquisition method of fuzzy rules using genetic algorithm. Knowledge of the system is the key to generating the control rules. As these rules, a system can be more stable and it reaches the control goal the faster. To get the optimal fuzzy control rules and the membership functions, we use the GA instead of the experts knowledge base. Information of the system is coded the chromosome with suitable phenotype. Then, it is operated by genetic operator, and evaluated by evaluation function. Passing by the decoding process with the fittest chromosome, the genetic algorithm can tune the fuzzy rules and the membership functions automatically ...

• 한국컴퓨터정보학회논문지
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• 제17권11호
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• pp.27-32
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• 2012

본 논문에서는 기존의 퍼지 필터링 알고리즘의 문제점을 개선한 퍼지 필터링 기법을 제안한다. 제안된 퍼지 필터링 알고리즘은 컬러 영상에서 R, G, B 채널을 각각 분리한다. 분리된 각 채널에서 마스크 정보를 추출하여 채널에 대한 평균값과 중간값의 명암도를 제안된 퍼지 기법의 소속 함수에 적용하여 소속도를 구한 뒤, 추론 규칙에 적용한다. 그리고 R, G, B 각각의 소속도 값을 이용하여 잡음 가능성 여부를 판별한다. 제안된 퍼지 기법에서 소속 함수구간은 세 개 구간으로 설정하였다. 잡음이라고 판단되는 경우에는 그 잡음 정도에 따라 중간값이나 평균값을 해당 픽셀 값으로 설정하여 잡음을 제거한다. 제안된 기법을 컬러 영상에 적용한 결과, 제안된 기법이 기존의 퍼지 필터링 기법보다 잡음 제거에 있어서 효과적인 것을 확인할 수 있었다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.327-332
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• 1996

Rough Set theory suggested by Pawlak has a property that it can describe the degree of relation between condition and decision attributes of data which don't have linguistic information. In this paper, by using this ability of rough set theory, we define a occupancy degree which is a measure can represent a degree of relational quantity between condition and decision attributes of data table. We also propose a method that can find an optimal fuzzy rule table and membership functions of input and output variables from data without linguistic information and examine the validity of the method by modeling data generated by fuzzy rule.

• 산학경영연구
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• 제17권2호
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• pp.161-183
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• 2004

본 연구는 온라인 멤버십 특성이 고객 애호도에 미치는 영향을 알아보기 위해서, 관계마케팅에서 고객관계의 중요한 개념인 몰입의 세 가지 차원(지속적 몰입, 규범적 몰입, 감성적 몰입)의 역할을 확인하고자 하였다. 첫째, 온라인 멤버십이 고객관계의 중요한 매게 변수인 몰입의 세 가지 차원을 통해서 프로구단의 고객 애호도에 영향을 주는지 알아보고 둘째, 현재 활용되고 있는 오프라인 기업의 온라인 멤버십 특성이 몰입의 세 가지 차원에 대한 영향을 알아보고자 하였다. 이러한 목적을 달성하기 위해서 본 연구에서는 온라인 멤버십의 연가설과 연구모형을 설정하고 실증분석을 실시하였다. 본 연구에서는 연구특성상 인터넷상에서 설문조사를 실시하였으며 설문대상은 프로축구 구단의 서포터들을 중심으로 총 211부의 설문을 통해 이중 응답이 불성실하다고 판단된 23부를 제외한 188부를 실증분석에 이용하였다. 실증분석은 SPSS 10.0과 AMOS 4.0 통계분석 프로그램을 이용하여 분석하였다. 연구결과 온라인 멤버십의 특성과 규범적 몰입, 지속적 몰입, 감성적 몰입이 고객 애호도에 중요한 매개적 역할을 하고 있음을 알 수 있었다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.506-511
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• 1998

In this paper we consider multiobjective linear programming problems with coefficients of the objective functions specified by possibility distributions. Possibly and necessarily efficient solution sets are defined as funny solution sets whose membership grades represent possibility and necessity degrees to which a feasible solution is efficient. Considering efficiency condition and its dual condition in ordinary multiobjective linear programming problem, we propose efficiency test methods based on an extreme ray generation method. Since the proposed methods can be put in the part of a bi-section method, we can develop calculation and methods of the degree of possible and necessary efficiency for feasible solutions.

• Journal of the Korean Data and Information Science Society
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• 제17권2호
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• pp.301-309
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• 2006

In this paper, we show the improved fuzzy c-means clustering method. To improve, we use the double clustering as principal component analysis from objects which is located on common region of more than two clusters. In addition we use the degree of membership (probability) of fuzzy c-means which is the advantage. From simulation result, we find some improvement of accuracy in data of the probability 0.7 exterior and interior of overlapped area.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권4호
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• pp.259-262
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• 2010

Study about fuzzy entropy and similarity measure on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Unlike fuzzy set, IFSs contains uncertainty named hesistancy, which is contained in fuzzy membership function itself. Hence, designing fuzzy entropy is not easy because of ununified entropy definition. By considering different fuzzy entropy definitions, fuzzy entropy is designed and discussed their relation. Similarity measure was also presented and verified its usefulness to evaluate degree of similarity.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권3호
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• pp.232-239
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• 2006

This paper is for applying interactive fuzzy linear programming for the problem of product mix planning, which is one of the aggregate planning problem. We developed a modified algorithm, which has two-phase approach for interactive fuzzy linear programming to get a better solution. Adding two-phase method, we expect to obtain not only the highest membership degree, but also a better utilization of each constrained resource.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1997년도 추계학술대회 발표논문집:21세기를 향한 정보통신 기술의 전망
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• pp.105-116
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• 1997

The fuzzy logic controller was used effectively for the controlling of unmeasured parameter and inaccurate mathematical modeling was designed. In this paper, we proposed that the method of reducing the vibration at the target point on calculating the membership degree about input value without a look-up table was proposed. And its effectiveness in the inverted pendulum was acquired.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.52-58
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• 1995

A shared-weight neural network that performed classification based on the features extracted with the fuzzy morphological operation is introduced. Learning rules for the structuring elements, degree of membership, and weighting factors are also precisely described. In application to handwritten digit recognition problem, the fuzzy morphological shared-weight neural network produced the results which are comparable to the state-of-art for this problem.