• Title/Summary/Keyword: MEASURE

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Fuzzy Entropy Construction based on Similarity Measure

  • Park, Hyun-Jeong;Yang, In-Suk;Ryu, Soo-Rok;Lee, Sang-Hyuk
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.257-261
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    • 2008
  • In this Paper we derived fuzzy entropy that is based on similarity measure. Similarity measure represents the degree of similarity between two informations, those informations characteristics are not important. First we construct similarity measure between two informations, and derived entropy functions with obtained similarity measure. Obtained entropy is verified with proof. With the help of one-to-one similarity is also obtained through distance measure, this similarity measure is also proved in our paper.

ON A SELF-SIMILAR MEASURE ON A SELF-SIMILAR CANTOR SET

  • Baek, In-Soo
    • Journal of the Chungcheong Mathematical Society
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    • v.16 no.2
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    • pp.1-10
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    • 2003
  • We compare a self-similar measure on a self-similar Cantor set with a quasi-self-similar measure on a deranged Cantor set. Further we study some properties of a self-similar measure on a self-similar Cantor set.

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Research for 3-D Information Reconstruction by Appling Composition Focus Measure Function to Time-series Image (복합초점함수의 시간열 영상적용을 통한 3 차원정보복원에 관한 연구)

  • 김정길;한영준;한헌수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.426-429
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    • 2004
  • To reconstruct the 3-D information of a irregular object, this paper proposes a new method applying the composition focus measure to time-series image. A focus measure function is carefully selected because a focus measure is apt to be affected by the working environment and the characteristics of an object. The proposed focus measure function combines the variance measure which is robust to noise and the Laplacian measure which, regardless of an object shape, has a good performance in calculating the focus measure. And the time-series image, which considers the object shape, is proposed in order to efficiently applying the interesting window. This method, first, divides the image frame by the window. Second, the composition focus measure function be applied to the windows, and the time-series image is constructed. Finally, the 3-D information of an object is reconstructed from the time-series images considering the object shape. The experimental results have shown that the proposed method is suitable algorithm to 3-D reconstruction of an irregular object.

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Similarity Measure Construction for Non-Convex Fuzzy Membership Function (비 컨벡스 퍼지 소속함수에 대한 유사측도구성)

  • Park, Hyun-Jeong;Kim, Sung-Shin;Lee, Sang-H
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.199-202
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    • 2007
  • The similarity measure is constructed for non-convex fuzzy membership function using well known Hamming distance measure. Comparison with convex fuzzy membership function is carried out, furthermore characteristic analysis for non-convex function are also illustrated. Proposed similarity measure is proved and the usefulness is verified through example. In example, usefulness of proposed similarity is pointed out.

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THE DOBRAKOV INTEGRAL OVER PATHS

  • Ryu, Kun Sik
    • Journal of the Chungcheong Mathematical Society
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    • v.19 no.1
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    • pp.61-68
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    • 2006
  • In 2002, the author introduced the definition and its properties of an analogue of Wiener measure over paths. In this article, using these concepts, we will derive an operator-valued measure over paths and will investigate the properties for integral with respect to the measure. Specially, we will prove the Wiener integral formula for our integral and give some example of it.

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Mutual Information Analysis with Similarity Measure

  • Wang, Hong-Mei;Lee, Sang-Hyuk
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.10 no.3
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    • pp.218-223
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    • 2010
  • Discussion and analysis about relative mutual information has been carried out through fuzzy entropy and similarity measure. Fuzzy relative mutual information measure (FRIM) plays an important part as a measure of information shared between two fuzzy pattern vectors. This FRIM is analyzed and explained through similarity measure between two fuzzy sets. Furthermore, comparison between two measures is also carried out.

Permutation P-values for Inter-rater Agreement Measures

  • Um, Yonghwan
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.12
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    • pp.169-174
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    • 2015
  • Permutation p-values are provided for the agreement measures for multivariate interval data among many raters. Three agreement measures, Berry and Mielke's measure, Janson and Olsson's measure, and Um's measure are described and compared. Exact and resampling permutation methods are utilized to compute p-values and empirical quantile limits for three measures. Comparisons of p-values demonstrate that resampling permutation methods provide close approximations to exact p-values, and Berry and Mielke's measure and Um's measure show similar performance in terms of measuring agreement.

On some properties of distance measures and fuzzy entropy

  • Lee, Sang-Hyuk;Kim, Sungshin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.9-12
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    • 2002
  • Representation and quantification of fuzziness are required for the uncertain system modelling and controller design. Conventional results show that entropy of fuzzy sets represent the fuzziness of fuzzy sets. In this literature, the relations of fuzzy enropy, distance measure and similarity measure are discussed, and distance measure is proposed. With the help of relations of fuzzy enropy, distance measure and similarity measure, fuzzy entropy is represented by the newly proposed distance measure. With simple fuzzy set, example is illustrated.

A Quality Measure for Supplier Selection (공급자선정을 위한 품질척도)

  • 변재현
    • Journal of Korean Society for Quality Management
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    • v.26 no.1
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    • pp.1-10
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    • 1998
  • Su, pp.ier quality plays a major role in the evaluation of su, pp.iers, making it very necessary to develop a proper quality measure useful in selecting su, pp.iers that is able to meet quality specification of the customer. In this paper, we present a measure of the overall quality performance which is a weighted geometric mean of the process capability indices of the quality characteristics of a su, pp.ier. This measure can be used both as a measure of su, pp.ier selection for the customer and as a measure for the self-analysis of the quality performance for the su, pp.ier.

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Truncated Multi-index Sequences Have an Interpolating Measure

  • Choi, Hayoung;Yoo, Seonguk
    • Kyungpook Mathematical Journal
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    • v.62 no.1
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    • pp.107-118
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    • 2022
  • In this note we observe that any truncated multi-index sequence has an interpolating measure supported in Euclidean space. It is well known that the consistency of a truncated moment sequence is equivalent to the existence of an interpolating measure for the sequence. When the moment matrix of a moment sequence is nonsingular, the sequence is naturally consistent; a proper perturbation to a given moment matrix enables us to confirm the existence of an interpolating measure for the moment sequence. We also illustrate how to find an explicit form of an interpolating measure for some cases.