基于不同“核”和灰度度的区间灰数的算法规则和排序方法

Guo San-dang, L. Si-feng, Fang Zhi-geng
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引用次数: 1

摘要

区间灰数是灰色系统理论的基本单位,但区间灰数算法的不完善严重制约了灰色系统理论的发展。本文根据区间灰数问题的性质,给出了基于下测度、上测度或中测度的“核”的定义。通过测量误差,定义了合适的绝对灰度和相对灰度,并提出了区间灰数的不同简化形式。在此基础上,建立了区间灰数算法。提出了一种基于不同测度的基于“核”的区间灰数排序新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm rules and sorting method of interval grey numbers based on different “kernel” and the degree of greyness of grey numbers
The interval grey numbers are the basic units of the grey system theory, however, the imperfect algorithm of interval grey numbers seriously restricts the development of the grey system theory. In this paper, the definitions of “kernels” based on the lower measure, the upper measure or the moderate measure are given according to the properties of the interval grey number problems. By means of the measurement error, the appropriate absolute degree of greyness and the relative degree of greyness are defined and different simplified forms of the interval grey numbers are put forward. On this basis, the interval grey number algorithm is established. A new sorting method of the interval grey numbers is proposed according to the “kernel” based on the different measures.
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