• Title/Summary/Keyword: prefilter convergence

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Filter Convergence and Fuzzy Topology

  • Min, Kyung-Chan;Lee, Yoon-Jin;Myung, Jae-Deuk
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.10 no.4
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    • pp.269-274
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    • 2010
  • After introducing many different types of prefilter convergence, we introduce an universal method to define various notions of compactness using cluster point and convergence of a prefilter and to prove the Tychonoff theorem using characterizations of ultra(maximal) prefilters.

CONVERGENCE OF PREFILTER BASE ON THE FUZZY SET

  • Kim, Young-Key;Byun, Hee-Young
    • Korean Journal of Mathematics
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    • v.10 no.1
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    • pp.5-10
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    • 2002
  • In this paper, we investigate the prefilter base on a fuzzy set and fuzzy net ${\varphi}$ on the fuzzy topological space (X,${\delta}$). And we show that the prefilter base $\mathcal{B}({\varphi})$ determines by the fuzzy net ${\varphi}$ converge to a fuzzy point $p$ iff the fuzzy net ${\varphi}$ converge to a fuzzy point $p$. Also we prove that if the prefilter base $\mathcal{B}$ converge to a fuzzy point $p$, then the $\mathcal{B}$ has the cluster point $p$.

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ON QUASI-FUZZY H-CLOSED SPACE AND CONVERGENCE

  • Yoon, Kyo-Chil;Myung, Jae-Duek
    • Korean Journal of Mathematics
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    • v.4 no.2
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    • pp.173-178
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    • 1996
  • In this paper, we discuss quasi-fuzzy H-closed space and introduce ${\theta}$-convergence of prefilter in fuzzy topological space. And we define ${\theta}$-closed fuzzy set using by ${\theta}$-convergence.

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Design of Fuzzy Adaptive IIR Filter in Direct Form (직접형 퍼지 적응 IIR 필터의 설계)

  • 유근택;배현덕
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.4
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    • pp.370-378
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    • 2002
  • Fuzzy inference which combines numerical data and linguistic data has been used to design adaptive filter algorithms. In adaptive IIR filter design, the fuzzy prefilter is taken account, and applied to both direct and lattice structure. As for the fuzzy inference of the fuzzy filter, the Sugeno's method is employed. As membership functions and inference rules are recursively generated through neural network, the accuracy can be improved. The proposed adaptive algorithm, adaptive IIR filter with fuzzy prefilter, has been applied to adaptive system identification for the purposed of performance test. The evaluations have been carried out with viewpoints of convergence property and tracking properties of the parameter estimation. As a result, the faster convergence and the better coefficients tracking performance than those of the conventional algorithm are shown in case of direct structures.

A Study on the Digital Distance Relaying Algorithm based on Arithmetic Fourier Transform Filter (산술퓨리에변환 필터에 의한 디지털 거리계전알고리즘에 관한 연구)

  • Park, Kyu-Hyun;Lee, Gi-Won;Park, Chul-Won;Kim, Chul-Hwan;Shin, Myong-Chul
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.471-475
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    • 1995
  • This paper deals with the aliasing problem minimized by using an analog low-pass prefilter have a sampling frequency of 18000 Hz is designed and describes to extract their fundamental frequency components by AFT filter. And them distance relaying algorithm based AFT filter is computational simple, good frequency response and fast convergence in calculation of system apparant impedance. We performed off-line simulation using data from EMTP.

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