Title :
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
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;
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
DOI :
10.1109/ICMSS.2009.5301419
