The Experts below are selected from a list of 8922 Experts worldwide ranked by ideXlab platform
Yian-kui Liu - One of the best experts on this subject based on the ideXlab platform.
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fuzzy random variables a scalar expected value operator
Fuzzy Optimization and Decision Making, 2003Co-Authors: Yian-kui Liu, Baoding LiuAbstract:Fuzzy random variable has been defined in several ways in literature. This paper presents a new definition of fuzzy random variable, and gives a novel definition of scalar expected value operator for fuzzy random variables. Some properties concerning the Measurability of fuzzy random variable are also discussed. In addition, the concept of independent and identically distributed fuzzy random variables is introduced. Finally, a type of law of large numbers is proved.
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On the convergence of measurable set-valued function sequence on fuzzy measure space
Fuzzy Sets and Systems, 2000Co-Authors: Yian-kui LiuAbstract:In this paper we first discuss the measurable projection theorem on fuzzy measure space, and in this framework the characterization theorem with respect to Measurability of a set-valued function is given. By means of the asymptotic structural characteristics of fuzzy measure, we discuss four forms of generalization for both Lebesgue's theorem, Riesz's theorem, and Egoroff's theorem, respectively. The relation between convergence of measurable set-valued function sequence and that of corresponding measurable real-valued function sequence are also discussed.
Pedro Terán - One of the best experts on this subject based on the ideXlab platform.
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Harmonizing two approaches to fuzzy random variables
Fuzzy Optimization and Decision Making, 2020Co-Authors: Miriam Alonso de la fuente, Pedro TeránAbstract:We prove a Measurability result which implies that the measurable events concerning the values of a fuzzy random variable, in two related mathematical approaches wherein the codomains of the variables are different spaces, are the same (provided both approaches apply). Further results on the perfectness of probability distributions of fuzzy random variables are presented.
Baoding Liu - One of the best experts on this subject based on the ideXlab platform.
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fuzzy random variables a scalar expected value operator
Fuzzy Optimization and Decision Making, 2003Co-Authors: Yian-kui Liu, Baoding LiuAbstract:Fuzzy random variable has been defined in several ways in literature. This paper presents a new definition of fuzzy random variable, and gives a novel definition of scalar expected value operator for fuzzy random variables. Some properties concerning the Measurability of fuzzy random variable are also discussed. In addition, the concept of independent and identically distributed fuzzy random variables is introduced. Finally, a type of law of large numbers is proved.
G Amelinocamelia - One of the best experts on this subject based on the ideXlab platform.
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limits on the Measurability of space time distances in the semi classical approximation of quantum gravity
arXiv: General Relativity and Quantum Cosmology, 1996Co-Authors: G AmelinocameliaAbstract:By taking into account both quantum mechanical and general relativistic effects, I derive an equation that describes some limitations on the Measurability of space-time distances. I then discuss possible features of quantum gravity which are suggested by this equation.
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limits on the Measurability of space time distances in the semiclassical approximation of quantum gravity
Modern Physics Letters A, 1994Co-Authors: G AmelinocameliaAbstract:By taking into account both quantum mechanical and general relativistic effects, an equation that describes some limitations on the Measurability of space-time distances can be derived. We then discuss possible features of quantum gravity which are suggested by this equation.
Miriam Alonso de la fuente - One of the best experts on this subject based on the ideXlab platform.
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Harmonizing two approaches to fuzzy random variables
Fuzzy Optimization and Decision Making, 2020Co-Authors: Miriam Alonso de la fuente, Pedro TeránAbstract:We prove a Measurability result which implies that the measurable events concerning the values of a fuzzy random variable, in two related mathematical approaches wherein the codomains of the variables are different spaces, are the same (provided both approaches apply). Further results on the perfectness of probability distributions of fuzzy random variables are presented.