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A summary of The progress in grey system research

机译：灰色系统研究进展综述

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The progress in grey system research is summarized. The four theories of uncertain systems — probability statistics, fuzzy mathematics, grey system, and rough set theory — are compared. The general grey numbers, the grey sequence operators and several grey system models, which are most commonly used, are introduced, such as the absolute degree of grey incidence model, the grey cluster model based on endpoint triangular whitenization functions, the grey cluster model based on center-point triangular whitenization functions, the grey prediction model of the GM(1,1) model, and the weighted multi-attribute grey target decision model. The reader will get to know a general picture of grey systems theory as a new method for studying problems with partial information known and partial information unknown, especially for uncertain systems with few data and poor information.
机译：总结了灰色系统研究的进展。比较了不确定系统的四种理论-概率统计，模糊数学，灰色系统和粗糙集理论-。介绍了最常用的常规灰度数，灰度序列算子和几种灰度系统模型，例如绝对灰度入射模型，基于端点三角白化函数的灰度聚类模型，基于灰度三角化的灰度聚类模型。在中心点三角白化函数，GM（1,1）模型的灰色预测模型和加权的多属性灰色目标决策模型上进行了研究。读者将了解灰色系统理论的一般情况，这是研究具有部分信息已知和部分信息未知的问题的新方法，尤其是对于数据量少和信息差的不确定系统。

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