Sequent location information embedded grey model

Der-Chiang Li, Yu-Chin Chang, Yi Hsiang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Efficiently controlling the early stages of a manufacturing system is an important issue for enterprises. However, the number of samples collected at this point is usually limited due to time and cost issues, making it difficult to understand the real situation in the production process. One of the ways to solve this problem is to use a small data set forecasting tool, such as the various grey approaches. The grey model is a popular forecasting technique for use with small data sets, and while it has been successfully adopted in various fields, it can still be further improved. This paper thus uses a box plot to analyze data features and proposes a new formula for the background values in the grey model to improve forecasting accuracy. The new forecasting model is called SLIEGM(1,1). In the experimental study, one public dataset are used to confirm the effectiveness of the proposed model, and the experimental results show that it is an appropriate tool for small data set forecasting.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013
Pages473-476
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013 - Macau, China
Duration: 2013 Nov 152013 Nov 17

Publication series

NameProceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS
ISSN (Print)2166-9430
ISSN (Electronic)2166-9449

Other

Other2013 24th IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2013
Country/TerritoryChina
CityMacau
Period13-11-1513-11-17

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Hardware and Architecture
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Sequent location information embedded grey model'. Together they form a unique fingerprint.

Cite this