• 제목/요약/키워드: Membership Value

검색결과 219건 처리시간 0.025초

타입-2 퍼지값의 순위결정 (A Ranking Method for Type-2 Fuzzy Values)

  • 이승수;이광형
    • 한국지능시스템학회논문지
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    • 제12권4호
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    • pp.341-346
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    • 2002
  • 주어진 값에 존재하는 불확실성을 표현하기 위하여 타입-1 퍼지값을 사용하듯이, 타입-1 퍼지값의 소속함수를 명확히 정의하기 어려운 경우에 타입-2 퍼지값을 사용할 수 있다. 타입-2 퍼지값은 타입-1 퍼지값에 비해 표현범위가 넓다는 장점이 있지만 타입-2 퍼지값의 사용을 위해서는 기존에 타입-1 퍼지값에서 정의되었던 연산들에 대한 확장된 재정의가 필요하다. 본 논문에서는 타입-2 퍼지값에 대한 비교 및 순위결정에 대한 방법을 제안하였다. 제안된 방법은 타입-2 퍼지값의 실제값과 그 실제값에 대한 가능성을 고려하여 비교결과를 산출하는 만족함수에 기반하고 있으며, 각각의 비교 및 순위결정 결과에 대한 가능성 혹은 신뢰도를 계산한다. 본 논문에서는 제안된 방법이 갖는 몇몇 특성에 대하여도 분석하였다.

SEJONG OPEN CLUSTER SURVEY. I. NGC 2353

  • Lim, Beom-Du;Sung, Hwan-Kyung;Karimov, R.;Ibrahimov, M.
    • 천문학회지
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    • 제44권2호
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    • pp.39-48
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    • 2011
  • UBV I CCD photometry of NGC 2353 is performed as a part of the "Sejong Open cluster Survey" (SOS). Using photometric membership criteria we select probable members of the cluster. We derive the reddening and distance to the cluster, i.e., E(B - V ) = 0.10 ${\pm}$ 0.02 mag and 1.17 ${\pm}$ 0.04 kpc, respectively. We find that the projected distribution of the probable members on the sky is elliptical in shape rather than circular. The age of the cluster is estimated to be log(age)=8.1 ${\pm}$ 0.1 in years, older than what was found in previous studies. The minimum value of binary fraction is estimated to be about 48 ${\pm}$ 5 percent from a Gaussian function fit to the distribution of the distance moduli of the photometric members. Finally, we also obtain the luminosity function and the initial mass function (IMF) of the probable cluster members. The slope of the IMF is ${\Gamma}=-1.3{\pm}0.2$.

Fuzzy Set을 이용한 피부반응 검사의 자동화 연구 (Automation of Skin Allergy Test using Fuzzy Set)

  • 심철;정병선;이명구;박민용
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1990년도 춘계학술대회
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    • pp.43-46
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    • 1990
  • Modern society is prevailed a lot of allergies. So, the allergy test is very important. There are many kinds of allergy test. A doctor usually uses skin allergy test among many allergy tests. However, little standadization and objectivity of grading-standard has been established in the skin allergy test. A measurement of the reaction area has been a major objective to perform skin allergy test. Recently, a doctor's method is to measure the reaction area after drawing a line that represents the reaction area on the skin. But this method differs slightly from the real reaction area and individual doctor's measurement is different, because the edge of the reaction area is obscure. In this paper, we propose a algorithm which is able to detect vague edges using the fuzzy set. The algorithm that detects the line and curve is proposed first. Here, the maximum value is calculated by comparing the membership function of the line and curve seperately. We also encode the direction of the line and curve by using 8-direction code. Then, we calculate the reaction area by measuring the pixels which are inside the reaction area. And finally the Allergy grade is decided by grading-standard, and we accomplish faster, the 80re accurate and objective allergy grade decision.

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A Study on the Ethical Issues and Sharing Behavior of User's Information in the Era of Big Data

  • Lee, Myung-Suk
    • 한국컴퓨터정보학회논문지
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    • 제21권10호
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    • pp.43-48
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    • 2016
  • This study is to examine how big data collects user's information and is used; the status quo of exposures of user's information, and various measures of self-control by the user. This study is also to look their ethical issues and discuss problems of privacy concerning big data. As a way for users to self-control their information, they need to check the log-in state of web portal sites and set up their account so that customized advertisement and location information cannot be tracked. When posting a blog, the value of posting should be controlled. When becoming a member of a web site, users must check the access terms before agreement and beware of chained agreements and/or membership joins in order to control the exposure of their personal information. To prevent information abuse through big data through which user's information is collected and analyzed, all users must have the right to control, block or allow personal information. For an individual to have the right to control over his information, users must understand the concept of user's information and practice ethics accompanied by newly given roles in the Internet space, which will lead to the establishment of the sound and mature information society on the Internet.

A Fuzzy Skyhook Algorithm Using Piecewise Linear Inverse Model

  • Cho Jeong-Mok;Yoo Bong-Soo;Joh Joong-Seon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권3호
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    • pp.190-196
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    • 2006
  • In this paper, the nonlinear damping force model is made to identify the properties of the ER damper using higher order spectrum. The higher order spectral analysis is used to investigate the nonlinear frequency coupling phenomena with the damping force signal according to the sinusoidal excitation of the damper. Also, this paper presents an inverse model of the ER damper, i.e., the model can predict the required voltage so that the ER damper can produce the desired force for the requirement of vibration control of vehicle suspension systems. The inverse model has been constructed by using piecewise linear damping force model. In this paper, the fuzzy logic control based on heuristic knowledge is combined with the skyhook control. And it is simulated for a quarter car model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration RMS value of the sprung mass. Then scaling factors and membership functions are tuned using genetic algorithm to obtain optimal performance.

건설공사의 리스크분석을 위한 퍼지평가모형 개발 (Development of Fuzzy Model for Analyzing Construction Risk Factors)

  • 박서영;강인석;김창학;손창백
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2001년도 학술대회지
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    • pp.519-524
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    • 2001
  • 국내·외적으로 건설공사의 리스크관리에 대한 중요성은 더욱 커져가고 있지만, 합리적인 리스크인자의 구축방법과 개별 리스크인자의 분석 및 정량화가 용이하지 않기 때문에 실무적 운용이 가능한 리스크분석시스템을 구축한 경우는 극히 미흡한 실정이다. 본 연구에서는 전문가의 주관적 판단과 언어적 변량을 이용하여 리스크를 정량화하기 위한 퍼지분석방법을 제시한다. 본 퍼지분석방법은 건설공사의 리스크인자를 발생확률 발생강도, 발생빈도로 구분하여 평가하게 함으로서 그 적용성과 정확성을 높일 수 있도록 하였고, 언어적 변량을 이용하여 리스크를 정량화하기 때문에 복잡한 자료의 구축과 분석시간을 단축하였으며, 그 적용이 매우 쉽다는 장점을 갖게 된다.

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서비스 블루프린트와 FTA를 이용한 서비스 신뢰도 평가모델 (Evaluation Model of Service Reliability Using a Service Blueprint and FTA)

  • 유정상;오형술
    • 산업경영시스템학회지
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    • 제35권4호
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    • pp.194-201
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    • 2012
  • Because the difference between products and services are getting less and less, service and manufacturing companies' efforts are increasingly focused on utilizing services to satisfy customers' needs under today's competitive market environment. The value of services depends on service reliability that is identified by satisfaction derived from the relationship between customer needs and service providers. In this paper, we extend concepts from the fault tree analysis for reliability analysis of tangible systems to services. We use an event-based process model to facilitate service design and represent the relationships between functions and failures in a service. The objective of this research is to propose a method for evaluating service reliability based on service processes using service blueprint and FTA. We can identify the failure mode of service in a service delivery process with a service blueprint. The fuzzy membership function is used to characterize the probability of failure based on linguistic terms. FTA is employed to estimate the reliability of service delivery processes with risk factors that are represented as potential failure causes. To demonstrate implementation of the proposed method, we use a case study involving a typical automotive service operation.

Multi-Criteria decision making based on fuzzy measure

  • Sun, Yan;Feng, Di
    • 중소기업융합학회논문지
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    • 제3권2호
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    • pp.19-25
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    • 2013
  • 치명적인 사고를 막기 위해 드라이버 졸음 (DD)를 검출하는 다양한 최근 방법이 제안되고있다. 본 논문은 운전자의 눈에 폐쇄 속도를 모니터링 할 수 있는 기능을 AdaBoost 기반 물체 검출 알고리즘에 적용한 DD 탐지 시스템 구현에서 하드웨어/소프트웨어 공동 설계 방법을 제안한다. 소프트웨어 구성 요소는 DD 검출 알고리즘 중에서 필요한 기능성을 완전하게 달성하기 위해 전체적인 제어 및 논리 연산을 구현한다. 반면, 본 연구에서는 DD 검출 알고리즘의 중요한 기능은 처리를 가속화하기 위해 맞춤형 하드웨어 구성 요소를 통해 가속된다. 하드웨어/소프트웨어 아키텍처는 비디오 도터 보드와 알테라 DE2 보드에 구현되었습니다. 제안 된 구현의 성능을 평가하고 몇 가지 최근의 작품을 벤치마킹했다.

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Intelligent Approach for Segmenting CT Lung Images Using Fuzzy Logic with Bitplane

  • Khan, Z. Faizal;Kannan, A.
    • Journal of Electrical Engineering and Technology
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    • 제9권4호
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    • pp.1426-1436
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    • 2014
  • In this article, we present a new grey scale image segmentation method based on Fuzzy logic and bitplane techniques which combines the bits of different bitplanes of a pixel inorder to increase the segmentation quality and to get a more reliable and accurate segmentation result. The proposed segmentation approach is conceptually different and explores a new strategy. Infact, our technique consists in combining many realizations of the image together inorder to increase the information quality and to get an optimal segmented image. For segmentation, we proceed in two steps. In the first step, we begin by identifying the bitplanes that represent the lungs clearly. For this purpose, the intensity value of a pixel is separated into bitplanes. In the second step, segmentation values are assigned for each bitplane based on membership table. The segmented values of foreground are combined and the segmentation values of background are combined. The algorithm is demonstrated through the medical computed tomography (CT) images. The segmentation accuracy of the proposed method is compared with two existing techniques. Satisfactory segmentation results have been obtained showing the effectiveness and superiority of the proposed method.

유전알고리즘을 이용한 자기동조 퍼지 제어기의 설계 (Design of Self-Tuning Fuzzy Logic Controllers using Genetic Algorithms)

  • 서재근;김태언;권혁진;김낙교;남문헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1374-1376
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    • 1996
  • In this paper We proposed a new method to generate fuzzy logic controllers through genetic algorithm(GA). In designing of fuzzy logic controllers encounters difficulties in the selection of optimized member-ship functions, gains and rule base, which is conventionally achieved by a tedious trial-and-error process. This paper develops genetic algorithms for automatic design of high performance fuzzy logic controllers which can overcome nonlinearities in many engineering control applications. The rule-base is coded in base-7 strings by generated from random function. Which can be presented in discrete fuzzy linguistic value, and using membership function with Gaussian curve. To verify the validity of this fuzzy logic controller it is compared with conventional fuzzy logic controller(FLC) and PID controller.

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