• Title/Summary/Keyword: Fuzzy number-valued fuzzy number

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On fuzzy number-valued Choquet integrals

  • 장이채;김태균
    • Proceedings of the Korean Society of Computational and Applied Mathematics Conference
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    • 2003.09a
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    • pp.7-7
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    • 2003
  • We studied closed set-valued Choquet integrals in two papers(1997, 2000) and convergence theorems under some sufficient conditions in two papers(2003), for examples : (i) convergence theorems for monotone convergent sequences of Choquet integrably bounded closed set-valued functions, (ii) covergence theorems for the upper limit and the lower limit of a sequence of Choquet integrably bounded closed set-valued functions. In this presentation, we consider fuzzy number-valued functions and define Choquet integrals of fuzzy number-valued functions. But these concepts of fuzzy number-valued Choquet inetgrals are all based on the corresponding results of interval-valued Choquet integrals. We also discuss their properties which are positively homogeneous and monotonicity of fuzzy number-valued Choquet integrals. Furthermore, we will prove convergence theorems for fuzzy number-valued Choquet integrals. They will be used in the following applications : (1) Subjectively probability and expectation utility without additivity associated with fuzzy events as in Choquet integrable fuzzy number-valued functions, (2) Capacity measure which are presented by comonotonically additive fuzzy number-valued functionals, and (3) Ambiguity measure related with fuzzy number-valued fuzzy inference.

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ON CHOQUET INTEGRALS OF MEASURABLE FUZZY NUMBER-VALUED FUNCTIONS

  • Jung, Lee-Chae;Kim, Tae-Kyun;Jeon, Jong-Duek;Kim, Won-Ju
    • Bulletin of the Korean Mathematical Society
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    • v.41 no.1
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    • pp.95-107
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    • 2004
  • In this paper, we consider fuzzy number-valued functions and fuzzy number-valued Choquet integrals. And we also discuss positively homogeneous and monotonicity of Choquet integrals of fuzzy number-valued functions(simply, fuzzy number-valued Choquet integrals). Furthermore, we prove convergence theorems for fuzzy number-valued Choquet integrals.

GENERALIZED FUZZY NUMBER VALUED BARTLE INTEGRALS

  • Park, Chun-Kee
    • Communications of the Korean Mathematical Society
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    • v.25 no.1
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    • pp.37-49
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    • 2010
  • In this paper we introduce the integration of scalar valued functions with respect to a generalized fuzzy number measure which we call the generalized fuzzy number valued Bartle integral. We first establish some properties of the generalized fuzzy number measures and then study the generalized fuzzy number valued Bartle integrals.

Choquet expected values of fuzzy number-valued random variables and their applications (퍼지수치 확률변수의 쇼케이 기댓값과 그 응용)

  • Lee, Chae-Jang;Kim, Tae-Kyun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.394-397
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    • 2004
  • In this paper, we consider interval number-valued random variables and fuzzy number-valued random variables and discuss Choquet integrals of them. Using these properties, we define the Choquet expected value of fuzzy number-valued random variables which is a natural generalization of the Lebesgue expected value of Lebesgue expected value of fuzzy random variables. Furthermore, we discuss some application of them.

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ON CONVERGENCE THEOREMS OF THE AP-HENSTOCK-STIELTJES INTEGRAL FOR FUZZY NUMBER-VALUED FUNCTIONS

  • Yoon, Ju Han
    • Journal of the Chungcheong Mathematical Society
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    • v.31 no.3
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    • pp.333-341
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    • 2018
  • In this paper we introduce the concept of equi-integrability of sequence of the fuzzy number-valued AP-Henstock-Stieltjes integrable functions. Under this concept, we prove two convergence theorems for sequences of the fuzzy number-valued AP-Henstock-Stieltjes integrable functions.

A note on the Choquet distance measures for fuzzy number-valued fuzzy numbers (퍼지수치 퍼지수 상의 쇼케이 거리측도에 관한 성질)

  • Jang Lee-Chae;Kim Won-Joo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.05a
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    • pp.365-369
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    • 2006
  • Interval-valued fuzzy sets were suggested for the first time by Gorzalczang(1983) and Turken(1986). Based on this, Wang and Li extended their operations on interval-valued fuzzy numbers. Recently, Hong(2002) generalized results of Wang and Li and extended to interval-valued fuzzy sets with Riemann integral. Using interval-valued Choquet integrals with respect to a fuzzy measure instead of Riemann integrals with respect to a classical measure, we studied some characterizations of interval-valued Choquet distance(2005). In this paper, we define Choquet distance measure for fuzzy number-valued fuzzy numbers and investigate some algebraic properties of them.

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Choquet expected values of fuzzy number-valued random variables and their applications (퍼지수치 확률변수의 쇼케이 기댓값과 그 응용)

  • Jang LeeChae;Kim TaeKyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.98-103
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    • 2005
  • In this paper, we consider interval number-valued random variables and fuzzy number-valued random variables and discuss Choquet integrals of them. Using these properties, we define the Choquet expected value of fuzzy number-valued random variables which is a natural generalization of the Lebesgue expected value of fuzzy random variables. Furthermore, we discuss some application of them.

CARDINALITY OF TYPE 2 FOR FUZZY-VALUED FUNCTIONS

  • Jang, Lee-Chae
    • Journal of applied mathematics & informatics
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    • v.6 no.1
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    • pp.265-272
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    • 1999
  • In this paper we define generalized concepts of cardinal-ity of a fuzzy-valued function and obtained some properties of these new concepts.

APPROXIMATION BY FUZZY B-SPLINE SERIES

  • BLAGA PETRU;BEDE BARNABAS
    • Journal of applied mathematics & informatics
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    • v.20 no.1_2
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    • pp.157-169
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    • 2006
  • We study properties concerning approximation of fuzzy-number-valued functions by fuzzy B-spline series. Error bounds in approximation by fuzzy B-spine series are obtained in terms of the modulus of continuity. Particularly simple error bounds are obtained for fuzzy splines of Schoenberg type. We compare fuzzy B-spline series with existing fuzzy concepts of splines.