Prediction Model for Three-parameter Interval Grey Number Based on Kernel and Degree of Accuracy

摘要:

针对传统灰色预测模型只能解决实数序列和区间灰数序列预测的不足,提出了三参数区间灰数的预测模型.通过定义三参数区间灰数的核和精确度,进而得到三参数区间灰数的核序列、重心点序列和精确度序列,从而将三参数区间灰数序列预测转变成实数序列预测,分别对三组序列建立预测模型,在不破坏灰数整体性的前提下,推导还原得到三参数区间灰数的预测模型,并对其进行精度检验,最后用一个实例来验证所建模型的有效性和实用性.

Modeling objects of traditional prediction models are only suitable for real number sequences and interval grey number.Therefore,based on three-parameter interval grey number,and a new prediction model is proposed.The kernel sequences,the ＂center of gravity＂ sequences and degree of accuracy sequences are defined and predicted.Then the unbiased prediction model of three-parameter interval grey number is achieved by deducing and reverting.An example is presented to illustrate the usefulness and effectiveness of the proposed prediction method.

作者:

李晔 朱山丽 侯贤敏

机构地区:

河南农业大学信息与管理科学学院

出处:

《betway官方app 学报：自然科学版》 CAS 北大核心 2016年第6期165-169,174,共6页

基金:

国家自然科学基金(71271086) 河南省软科学项目(122400450013) 河南省人文社科项目(2017-ZZJH-233)

关键词:

灰色系统理论 预测模型 核和精确度 三参数区间灰数

grey system prediction model kernel and degree of accuracy three-parameter interval grey number

分类号:

N941.5 [自然科学总论—系统科学]

基于核和精确度的三参数区间灰数预测模型.pdf