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A note on “A new fuzzy regression model based on absolute deviation”

机译:关于“基于绝对偏差的新模糊回归模型”的注释

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摘要

Li et al. (2016) proposed a least absolute deviation method to find such fuzzy regression models whose all the parameters are trapezoidal fuzzy numbers. Since, the method, proposed by Li et al., is published in Engineering Applications of Artificial Intelligence (a very reputed International Journal) as well as it is easy to apply Li et al. method in real life problems. So, other researchers may be attracted to apply the method, proposed by Li et al., to find the solution of real life problems. However, after a deep study of the work done by Li et al., it is noticed that the multiplication of two trapezoidal fuzzy numbers, proposed by Li et al. as well as used in this method, is not valid. Hence, the aim of this note is to make the researchers aware about the valid multiplication of trapezoidal fuzzy numbers that should be used in Li et al. method.
机译:Li等。 (2016)提出了一种最小绝对偏差方法来找到所有参数均为梯形模糊数的模糊回归模型。因此,由Li等人提出的方法发表在《人工智能工程应用》(国际知名杂志)上,而且易于应用Li等人。现实生活中的方法问题。因此,可能吸引其他研究人员应用Li等人提出的方法来找到现实生活中问题的解决方案。然而,在对Li等人所做的工作进行深入研究之后,注意到Li等人提出的两个梯形模糊数的乘法。以及在此方法中使用的无效。因此,本文的目的是使研究人员了解应该在Li等人中使用的梯形模糊数的有效乘法。方法。

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