• 제목/요약/키워드: Intelligent systems

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P_L LIMIT STRUCTURES

  • Lee, Yoojin;Min, Kyung-Chan
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.326-330
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    • 1995
  • We define a PL-limit structure and a PL-Cauchy structure and obtain a completion of a separated PL-Cauchy structure.

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Semiprime and Semiprimary Fuzzy Ideals

  • Jeong, Tae-Eun
    • 한국지능시스템학회논문지
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    • 제9권5호
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    • pp.509-512
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    • 1999
  • We study semiprime fuzzy ideals semiprimary fuzzy ideals and their properties. We investigate that if a fuzzy ideal is semiprime and semiprimary then it is prime.

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On fuzzy pairwise irresolute mappings

  • Im, Young-Bin
    • 한국지능시스템학회논문지
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    • 제9권5호
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    • pp.513-516
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    • 1999
  • In this paper we further investigate some proterties of fuzzy pairwise irresolute mappings of fuzzy bitopological spaces.

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On type-2 fuzzy set-valued mappings

  • Kim, H.M.;L.C. Jang;J.D. Jeon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.311-313
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    • 2001
  • In this paper, we define type-2 fuzzy mappings on L-L fuzzy numbers and discuss some properties of these mappings.

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The Properties of Uniform Probabilistic Relaxation System

  • Lim, Gi Y.;M.N. Fu, Alan;Hong, Yan
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.413-416
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    • 1998
  • In this paper we first show that uniform PR systems and half independent PR systems have same dynamics, and then an important property of this two kinds of systems is derived. The most important property of uniform PR systems is that they have the ability of classifying m-dimensional problabilistic vector into in classes. The significance of studying the dynamics of uniform PR systems are tried from the beginning with a uniform PR system.

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Two-Degree-of Freedom Fuzzy Neural Network Control System And Its Application To Vehicle Control

  • Sekine, Satoshi;Yamaguchi, Toru;Tamagawa, Kouichirou;Endo, Tunekazu
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1121-1124
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    • 1993
  • We propose two-degree-of-freedom fuzzy neural network control systems. It has a hierarchical structure of two sets of control knowledge, thus it is easy to extract and refine fuzzy rules before and after the operation has started, and the number of fuzzy rules is reduced. In addition an example application of automatic vehicle operation is reported and its usefulness is shown simulation.

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불확실성을 가지는 퍼지 시스템을 위한 안정화 제어기 설계 (Design of Stabilizing Controllers for Fuzzy Systems with Uncertainty)

  • 곽기호;박주영
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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    • pp.183-187
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    • 2000
  • 본 논문에서는 불확실성을 가지는 TS 퍼지 시스템을 안정화시킬 수 있는 제어기를 제안하고, 선형행렬부등식(Linear Matrix Inequality : LMI)을 이용한 설계 방법을 제시하였다. 그리고, 간단한 예제를 통하여 제안된 기법의 응용 가능성을 확인하여 보았다.

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Piecewise Linear Fuzzy Random Variables and their Statistical Application

  • WATANABE, Norio;IMAIZUMI, Tadashi
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.696-700
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    • 1998
  • Fuzzy random variables with piecewise linear membership functions are introduced from a practical viewpoint. The estimation of the expected values of these fuzzy random variables is also discussed and statistical application is denonstratied by using a real data set.

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