软回归法提出了改进建议

Q3 Economics, Econometrics and Finance

Fuzzy Economic Review Pub Date : 2014-01-01 DOI:10.25102/FER.2014.02.02

E. Shnaider, N. Haruvy, A. Yosef

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引用次数: 1

摘要

软回归是一种基于模糊信息处理和启发式信息处理方法的回归技术。然而，在实际使用该方法后，发现有关解释变量相对权重的计算有两个方面可以改进，使该方法更具逻辑性，从而更符合软回归的启发式基础。在下面的文章中，我们将介绍软回归方法，建议的改进，最后一个例子来说明建议的改进关于影响国际增长和发展的因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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THE SOFT REGRESSION METHOD- SUGGESTED IMPROVEMENTS

Soft regression is a regression technique based on fuzzy information processing and heuristic information processing methods. However, following the practical use of the method, it was found that two aspects of the calculations pertaining to the relative weights of explanatory variables could be improved to make the method more logical, and therefore more in line with heuristic basis of soft regression. In the following paper, we will present the soft regression method, the suggested improvements, and finally an example to illustrate the suggested improvements regarding factors affecting international growth and development.

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来源期刊

Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

0.40

自引率

0.00%

发文量