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

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,...

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Bibliographic Details
Published in2009 International Conference on Management and Service Science pp. 1 - 4
Main Authors Youxin Luo, Linxian Che
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
Artificial neural networks
Channel hot electron injection
Demand forecasting
Economic forecasting
Educational institutions
Mathematical model
Mechanical engineering
Predictive models
Water resources
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Summary: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.
ISBN:1424446384
9781424446384
DOI:10.1109/ICMSS.2009.5301419