• 제목/요약/키워드: Fuzzy Sets

검색결과 784건 처리시간 0.03초

확장된 퍼지 Pr/T네트에서 모호집합 추론 (Vague Set Reasoning using Extended Fuzzy Pr/T Nets)

  • 조상엽
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제32권9호
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    • pp.927-935
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    • 2005
  • 규칙기반시스템에서 퍼지 생성규칙의 확신도와 규칙에 나타나는 퍼지 술어의 확신도는 0과 1사이의 실수로 표현한다. 만일 퍼지 생성규칙의 확신도와 퍼지 술어의 확신도를 모호집합에 기반을 둔 0과 1사이의 모호숫자와 같은 구간으로 표현한다면, 규칙기반시스템이 더 유연한 방법으로 퍼지추론을 하는 것이 가능하게 된다[18]. 우리는 모호집합 추론을 자동으로 실행하는 효율적인 알고리즘을 제안하였다. 이 모호집합 추론 알고리즘은 규칙기반시스템이 더 유연하고 효율적인 추론을 실행하는 것을 허용한다.

Optical Flow 추정을 위한 Fuzzy constraint Line Clustering에 관한 연구 (A study on fuzzy constraint line clustering for optical flow estimation)

  • 김현주;강해석;이상홍;김문현
    • 전자공학회논문지B
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    • 제31B권9호
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    • pp.150-158
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    • 1994
  • In this paepr, Fuzzy Constraint Line Clustering (FCLC) method for optical flow estimation is proposed. FCLC represents the spatical and temporal gradients as fuzzy sets. Based on these sets, several constraint lines with different membership values are generated for the poxed whose velocity is to be estimated. We describe the process for obtaining the membership values of the spatial and temporal gradients and that of the corresponding constraint line. We also show the process for deciding the tightest cluster of point formalated by intersection between constraint lines. For the synthetic and real images, the results of FCLC are compared with of CLC.

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A NOTE ON GENERALIZED NET MODEL OF E-LEARNING EVALUATION ASSOCIATED WITH INTUITIONISTIC FUZZY ESTIMATIONS

  • Shannon, A.;Sotirova, E.;Atanassov, K.;Krawczak, M.;Melo-Pinto, P.;Kim, T.;Jang, L.C.;Kang, Dong-Jin;Rim, S.H.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권1호
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    • pp.6-9
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    • 2006
  • A generalized net is used to construct a model which describes the process of evaluation of the problems solved by students. The model utilizes the theory of intuitionistic fuzzy sets. The model can be used to simulate some processes, related to estimation of students' background.

On a Novel Way of Processing Data that Uses Fuzzy Sets for Later Use in Rule-Based Regression and Pattern Classification

  • Mendel, Jerry M.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제14권1호
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    • pp.1-7
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    • 2014
  • This paper presents a novel method for simultaneously and automatically choosing the nonlinear structures of regressors or discriminant functions, as well as the number of terms to include in a rule-based regression model or pattern classifier. Variables are first partitioned into subsets each of which has a linguistic term (called a causal condition) associated with it; fuzzy sets are used to model the terms. Candidate interconnections (causal combinations) of either a term or its complement are formed, where the connecting word is AND which is modeled using the minimum operation. The data establishes which of the candidate causal combinations survive. A novel theoretical result leads to an exponential speedup in establishing this.

Benchmarking Evaluation of Web System Using Fuzzy Sets

  • Jeong, Gu-Beom;Kim, Doo-Ywan;Her, Chol-Hoi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권3호
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    • pp.292-299
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    • 2004
  • For Web System composed of a variety of hardware, software and network system, there is a wide difference in price, function and capacity. In addition, it is important to select the most suitable system when web system is constructed as the claim of high-quality web service from user has increased. Data of bench-marking is usually employed when the system is selected. Evaluation with the result of bench-marking, however, is not easy at web situation composed of a variety of systems. In this paper, first integrated bench-marking of hardware, software and network system metric were determined, and the plan to effectively compare and evaluate the result of bench-marking by using fuzzy set were offered.

Fuzzy집합개념을 이용한 고장진단에 관한 비교연구 (A Comparative Study on the Fault Diagnosis Using Fuzzy Set Concept)

  • Hwang, Won-Guk
    • Nuclear Engineering and Technology
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    • 제18권3호
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    • pp.228-237
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    • 1986
  • 본 논문은 Fuzzy관련공식의 역문제에 대한 해석방법론의 비교연구를 제시하고 있다. 여기서 Fuzzy 집합은 완전한 Brouwerian격자에의 투영으로 정의된다. 현재까지 관련공식의 역해석은 세가지 다른 결과로 연구되고 있어, 이를 이용하여 원자력발전소 주급수펌프의 고장진단에 적용하여 검토하였다.

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Operations of fuzzy bags

  • Kim, Kyung-Soo;Miyamoto, Sadaaki
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.28-31
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    • 1996
  • A bag is a set-like entity which can contain repeated elements. Fuzzy bags have been studied by Yager, who defined their basic relations and operations. However, his definitions of the basic relations and operations are inconsistent with the corresponding relations and operations for ordinary fuzzy sets. The present paper presents new basic relations and operations of fuzzy bags using a grade sequence for each element of the universal set. Moreover the .alpha.-cut, t-norms, the extension principle, and the composition of fuzzy bag relations are described.

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COMMON FIXED POINT THEOREM FOR MULTIMAPS ON MENGER L-FUZZY METRIC SPACE

  • Deshpande, Bhavana;Chouhan, Suresh
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제20권1호
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    • pp.11-23
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    • 2013
  • In this paper, we obtain a common fixed point theorem for multivalued mappings in a complete Menger $\mathcal{L}$-fuzzy metric space. $\mathcal{L}$-fuzzy metric space is a generalization of fuzzy metric spaces and intuitionistic fuzzy metric spaces. We extend and generalize the results of Kubiaczyk and Sharma [24], Sharma, Kutukcu and Rathore [34].

선형문제에서의 퍼지집합 이용 (A use of fuzzy set in linear programming problems)

  • 전용진
    • 경영과학
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    • 제10권2호
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    • pp.1-9
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    • 1993
  • This paper shows the application of fuzzy set and nonlinear membership function to linear programming problems in a fuzzy environment. In contrast to typical linear programming problems, the objectives and constraints of the problem in a fuzzy environment are defined imprecisely. This paper describes that fuzzy linear programming models can be formulated using the basic concepts of membership functions and fuzzy sets, and that they can be solved by quadratic programming methods. In a numerical example, a linear programming problem with two constraints and two decision variables is provided to illustrate the solution procedure.

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