New Information Multi-Variable Grey Optimization Model and Its Application in Urban Water Consumption

Author

Luo, Youxin ; Che, Linxian

Author_Institution

Dept. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

Urban water consumption has some characteristics of grey because it is influenced by economy, population, standard of living and so on. Based on grey system theory and the new information principle, multi-variable grey optimal model NMGM (1, n, q, r) was introduced. The parameter q and r of NMGM (1, n, q, r) model was optimized with Matlab software. The model was validated by examining the urban water consumption. The result indicated that the new information multi-variable grey optimization model NMGM (1, n, q, r) is simple and practical, and has a generalizing value in data process.

Keywords

grey systems; mathematics computing; optimisation; water supply; Matlab software; grey system theory; information multivariable grey optimization model; urban water consumption; Art; Artificial neural networks; Channel hot electron injection; Demand forecasting; Economic forecasting; Educational institutions; Mathematical model; Mechanical engineering; Predictive models; Water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5301419

Filename

5301419