A novel interval grey prediction model considering uncertain information

被引:62
作者
Zeng, Bo [1 ]
Chen, Guo [2 ]
Liu, Si-feng [3 ]
机构
[1] Chongqing Technol & Business Univ, Strateg Planning Coll, Chongqing 400067, Peoples R China
[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[3] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2013年 / 350卷 / 10期
基金
中国国家自然科学基金;
关键词
FORECASTING-MODEL; NUMBER;
D O I
10.1016/j.jfranklin.2013.08.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current studies on grey systems are mainly focused on known and deterministic information, rather than uncertain one. Different from previous schemes, this paper proposes an innovative prediction model based on grey number information, which extends its application dealing with uncertain information. By exploiting the geometric features of grey numbers on a two-dimensional surface, all grey numbers can be converted into real numbers without losing any information by means of proposed algorithms. Then a prediction model is established based on those real number sequences. In addition, a general case simulation is carried out to verify the effectiveness and practicability of the proposed model. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:3400 / 3416
页数:17
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