文章詳目資料

International Journal of Uncertainty and Innovation Research

  • 加入收藏
  • 下載文章
篇名 A Class of Weakening Buffer Operators for Reducing the Class Ratio Dispersion
卷期 1:1
作者 Dan ZengYong Wei
頁次 077-086
關鍵字 Weakening buffer operatorFunction transformationthe class ration dispersionInverse transformation
出刊日期 201904

中文摘要

英文摘要

Compared with the function transformation, the superiority of the buffer operator is that it does not need inverse transformation, so a new weakening buffer operator is proposed in this paper. First, the appropriate function transformation is used to reduce class ratio dispersion , and the necessary paving is made for the buffer operator . Then the translation constant is determined based on the value of the last term of the sequence, so that the sequence transformation satisfies the fixed point axiom of the buffer operator, then a weakening buffer sequence is obtained. Thus effectively avoiding the limitation of function transformation reduction and enlarging the accuracy of modeling. Thus effectively avoiding the limitation that the function transformation may enlarge relative error during the inverse transformation process, and improving the modeling accuracy.

相關文獻