对于不平衡数据的模糊时间序列预测

doi:10.3969/j.issn.1006-2475.2017.12.021

计算机与现代化

对于不平衡数据的模糊时间序列预测

（1.安徽大学数学科学学院，安徽合肥230601； 2.安徽大学计算智能与信号处理教育部重点实验室，安徽合肥230039）

收稿日期:2017-04-13 出版日期:2017-12-25 发布日期:2017-12-26
作者简介:霍旭（1993-），男，河南项城人，安徽大学数学科学学院硕士研究生，研究方向：不确定决策，智能计算；吴涛（1970-），男，安徽太和人，教授，博士，研究方向：智能计算，不确定决策。
基金资助:
国家自然科学基金资助项目（61673020）；高校优秀青年人才支持计划重点项目(gxyqZD2016453)

A Forecasting Method of Fuzzy Time Series for Imbalanced Data

(1. School of Mathematical Sciences, Anhui University, Hefei 230601, China； 2. Key Lab of Intelligent Computing & Signal Processing of Ministry of Education, Anhui University, Hefei 230039, China)

Received:2017-04-13 Online:2017-12-25 Published:2017-12-26

摘要/Abstract

摘要： 模糊时间序列自从被提出便得到广泛的关注。在运用模糊时间序列进行预测时，增加预测的准确度为研究的根本点。为了使预测结果更加精准，本文首先对不平衡数据集分类，将数据进行初始的划分，然后进行模糊时间序列预测，最后通过实验表明了该方法的实用性。

关键词: 不平衡数据集, 模糊时间序列, 论域划分, 模糊C均值算法

Abstract: Fuzzy time series has been widely concerned since it was put forward. It is the most important to increase accuracy of prediction when using fuzzy time series to forecast. In order to make the forecast more accurate, firstly imbalanced data are classified, then prediction is made by fuzzy time series. At last the method is shown its practicability by experiments.

Key words: imbalanced data, fuzzy time series, universe of discourse be divided, fuzzy c-means

中图分类号:

O244
TP311

霍旭1，吴涛1,2. 对于不平衡数据的模糊时间序列预测[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2017.12.021.

HUO Xu1, WU Tao 1,2. A Forecasting Method of Fuzzy Time Series for Imbalanced Data[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.12.021.

参考文献

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对于不平衡数据的模糊时间序列预测

A Forecasting Method of Fuzzy Time Series for Imbalanced Data

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