模糊随机变量的均值和方差评价方法

Y. Yoshida
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引用次数: 1

摘要

本文讨论了用模糊测度定义的均值和方差对模糊数/模糊随机变量进行评价的方法,该方法适用于既有随机性又有模糊性的决策。接下来,我们比较了几种关于方差的可能方法,通过检查它们对于一些具有三角形模糊数值的模糊随机变量。我们发现使用-均值函数的方法具有适当的性质,并且我们推导了关于方差及其相应的协方差和相关的基本性质。给出了将结果应用于三角形模糊数、梯形模糊数和某些类型的模糊随机变量的公式
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Mean Value and Variance of Fuzzy Random Variables by Evaluation Measures
This paper discusses an evaluation method of fuzzy numbers/fuzzy random variables by mean values and variance defined by fuzzy measures, and the method is applicable to decision making with both randomness and fuzziness. Next, we compare several possible approaches regarding variances by examining them for some fuzzy random variables with values at triangle-type fuzzy numbers. We find the method with lambda-mean functions has proper properties, and we derive fundamental properties regarding the variance and the corresponding co-variance and correlation. Formulae are given to apply the results to triangle-type fuzzy numbers, trapezoidal-type fuzzy numbers, and some types of fuzzy random variables
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