NDLI: New Information Grey Multi-variable Optimizating Model NMGM(1,n,q,r) of Social Security Level

Content Provider	IEEE Xplore Digital Library
Author	Youxin Luo Qiyuan Liu
Copyright Year	2009
Abstract	The social security level is an important factor during the process of the reformation of social security system. Whether it is fit for the level of the economic development has a crucial impact on the development of the social economy and the stabilization and solidification of our country. Higher or lower social security level influences the development of economics. Based on the Grey system and the new information principle, taking the mean relative error as objective function and taking the modified nth component of each variable as initial value of response function and finding the optimum background value coefficient q and modified value of initial value of response function by optimizing, new information multi-variable optimization Grey model NMGM(1, n, q, r) of the social security level was put forward which is used to check validity with example. Calculation results show that this method is very effective to data processing which has high precision and easy to use. The method has wide applications in social security level fields and other various economic fields.
Starting Page	45
Ending Page	48
File Size	264697
Page Count	4
File Format	PDF
ISBN	9780769539072
DOI	10.1109/EEEE.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Art Grey system Data security Predictive models Educational institutions Data processing Social Security Level Regression analysis R) Model Mechanical engineering N Q Information security NMGM(1 Differential equations Economic forecasting New Information Principle Data Processing
Content Type	Text
Resource Type	Article

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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
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