首页> 外文OA文献 >Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A Fuzzy-Based Explanation
【2h】

Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A Fuzzy-Based Explanation

机译:为什么线性(和分段线性)模型经常成功地描述复杂的非线性经济和金融现象:基于模糊的解释

摘要

Economic and financial phenomena are highly complex and non-linear. However, surprisingly, in many cases, these phenomena are accurately described by linear models -- or, sometimes, by piecewise linear ones. In this paper, we show that fuzzy techniques can explain the unexpected efficiency of linear and piecewise linear models: namely, we show that a natural fuzzy-based precisiation of imprecise (u22fuzzyu22) expert knowledge often leads to linear and piecewise linear models.We also discuss which expert-motivated nonlinear models should be used to get a more accurate description of economic and financial phenomena.
机译:经济和金融现象是高度复杂和非线性的。但是,令人惊讶的是,在许多情况下,这些现象可以通过线性模型准确地描述,有时甚至可以通过分段线性模型来准确描述。在本文中,我们表明模糊技术可以解释线性和分段线性模型的出乎意料的效率:即,我们表明基于自然的基于模糊的不精确( u22fuzzy u22)专家知识的精确度通常会导致线性和分段线性模型我们还将讨论应使用哪种专家激励的非线性模型来更准确地描述经济和金融现象。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号