NDLI: Sequent location information embedded grey model

Content Provider	IEEE Xplore Digital Library
Author	Der-Chiang Li Yu-Ching Chang Yi-Hsiang Huang
Copyright Year	2013
Description	Author affiliation: Dept. of Ind. & Inf. Manage., Nat. Chen Kung Univ., Tainan, Taiwan (Der-Chiang Li; Yu-Ching Chang; Yi-Hsiang Huang)
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.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	473
Ending Page	476
File Size	252300
Page Count	4
File Format	PDF
ISSN	21669430
e-ISBN	9781467352482
DOI	10.1109/GSIS.2013.6714830
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Accuracy Computational modeling Grey theory Small data set Predictive models Box plot Data models Forecasting Integrated circuit modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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