• 제목/요약/키워드: Measure for Measure

검색결과 25,911건 처리시간 0.039초

클러스터 평가 외부기준 척도 $F_n$-Measure ($F_n$-Measure : An External Cluster Evaluation Measure)

  • 김경택
    • 산업경영시스템학회지
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    • 제35권4호
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    • pp.244-248
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    • 2012
  • F-Measure is one of the external measures for evaluating the validity of clustering results. Though it has clear advantages over other widely used external measures such as Purity and Entropy, F-Measure has inherently been less sensitive than other validity measures. This insensitivity owes to the definition of F-Measure that counts only most influential portions. In this research, we present $F_n$-Measure, an external cluster evaluation measure based on F-Measure. $F_n$-Measure is so sensitive that it can detect their difference in the cases that F-Measure cannot detect the difference in clustering results. We compare $F_n$-Measure to F-Measure for a few clustering results and show which measure draws better result based upon homogeneity and completeness.

SIMPLE APPROACH TO MULTIFRACTAL SPECTRUM OF A SELF-SIMILAR CANTOR SET

  • BAEK, IN-Soo
    • 대한수학회논문집
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    • 제20권4호
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    • pp.695-702
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    • 2005
  • We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

RELATION BETWEEN FRACTAL MEASURES AND CANTOR MEASURES

  • Baek, In-Soo
    • 대한수학회논문집
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    • 제22권2호
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    • pp.241-246
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    • 2007
  • We investigate the relation between Hausdorff(packing) measure and lower(packing) Cantor measure on a deranged Cantor set. If the infimum of some distortion of contraction ratios is positive, then Hausdorff(packing) measure and lower(packing) Cantor measure of a deranged Cantor set are equivalent except for some singular behavior for packing measure case. It is a generalization of already known result on the perturbed Cantor set.

신뢰성 있는 정보의 추출을 위한 퍼지집합의 유사측도 구성 (Similarity Measure Construction of the Fuzzy Set for the Reliable Data Selection)

  • 이상혁
    • 한국통신학회논문지
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    • 제30권9C호
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    • pp.854-859
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    • 2005
  • 모호함의 측도를 위하여 퍼지 엔트로피와 거리측도 그리고 유사측도와의 관계를 이용하여 새로운 퍼지 측도를 제안하였다. 제안된 퍼지 엔트로피는 거리측도를 이용하여 구성된다. 거리측도는 일반적으로 사용되는 해밍 거리를 이용하였다. 또한 집합사이의 유사성을 측정하기 위한 유사측도를 거리 측도를 이용하여 구성하였고, 제안한 퍼지 엔트로피와 유사측도를 증명을 통하여 타당성을 확인하였다.

거리 측도를 이용한 퍼지 엔트로피와 유사측도의 구성 (Construction of Fuzzy Entropy and Similarity Measure with Distance Measure)

  • 이상혁;김성신
    • 한국지능시스템학회논문지
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    • 제15권5호
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    • pp.521-526
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    • 2005
  • 모호함의 측도를 위하여 퍼지 엔트로피와 거리측도 그리고 유사측도와의 관계를 이용하여 새로운 퍼지 측도를 제안하였다. 제안된 퍼지 엔트로피는 거리측도를 이용하여 구성된다. 거리측도는 일반적으로 사용되는 해밍 거리를 이용하였다. 또한 집합사이의 유사성을 측정하기 위한 유사측도를 거리 측도를 이용하여 구성하였고, 제안한 퍼지 엔트로피와 유사측도를 증명을 통하여 타당성을 확인하였다.

A NEW EXPONENTIAL DIRECTED DIVERGENCE INFORMATION MEASURE

  • JAIN, K.C.;CHHABRA, PRAPHULL
    • Journal of applied mathematics & informatics
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    • 제34권3_4호
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    • pp.295-308
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    • 2016
  • Depending upon the nature of the problem, different divergence measures are suitable. So it is always desirable to develop a new divergence measure. In the present work, new information divergence measure, which is exponential in nature, is introduced and characterized. Bounds of this new measure are obtained in terms of various symmetric and non- symmetric measures together with numerical verification by using two discrete distributions: Binomial and Poisson. Fuzzy information measure and Useful information measure corresponding to new exponential divergence measure are also introduced.

Fuzzy Measure and Integration

  • Stojakovic, Mila
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1418-1421
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    • 1993
  • The main purpose of this paper is to introduce and develop the notion of a fuzzy measure in separable Banach space. This definition of fuzzy measure is a natural generalization of the set-valued measure. Radon-Nikod m theorems for fuzzy measure are established.

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Logistic Performance Measure Cubic Model in Logistic Industry

  • Ree, Sangbok
    • International Journal of Quality Innovation
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    • 제3권2호
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    • pp.84-92
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    • 2002
  • In this Paper, We propose new performance measure model in Logistic Industry. New model has been learned by key points of PZB model and advanced structure of MBNQA which has cause measure points and effect measure points. The Structure of new performance measure model is Cubic Model which is reflected with time. We try to verify this model apply advance logistic company.

구간치 퍼지집합 상에서 쇼케이적분에 의해 정의된 거리측도와 유사측도에 관한 연구 (A note on distance measure and similarity measure defined by Choquet integral on interval-valued fuzzy sets)

  • 장이채
    • 한국지능시스템학회논문지
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    • 제17권4호
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    • pp.455-459
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    • 2007
  • Interval-valued fuzzy sets were suggested for the first time by Gorzafczany(1983) and Turksen(1986). Based on this, Zeng and Li(2006) introduced concepts of similarity measure and entropy on interval-valued fuzzy sets which are different from Bustince and Burillo(1996). In this paper, by using Choquet integral with respect to a fuzzy measure, we introduce distance measure and similarity measure defined by Choquet integral on interval-valued fuzzy sets and discuss some properties of them. Choquet integral is a generalization concept of Lebesgue inetgral, because the two definitions of Choquet integral and Lebesgue integral are equal if a fuzzy measure is a classical measure.