DocumentCode
3028569
Title
An Intelligent Decision Support System of Lake Water Pollution Control Based on Multi-agent Model
Author
Ni, J. ; Zhang, Chenghui ; Ren, Ling
Volume
1
fYear
2009
fDate
11-14 Dec. 2009
Firstpage
217
Lastpage
221
Abstract
With the rapidly development of the economic, environmental problem has become one of the most prominent problems of the society. Lake water environmental problem became more and more serious, and it had seriously effect on human health and the socio-economic sustainable development. It is a key project to find a more effective way of water pollution control. An intelligent decision support system (IDSS) of lake water pollution control based on multi-agent model is put forward. This IDSS includes three major modules: 1) An integrated information acquisition and processing system of lake water environment; 2) A model of lake water environment based on multi-agent; 3) A series of intelligent decision-making algorithms. These main modules will be integrated through a reliable communications and computing framework, which must have high-performance.
Keywords
control engineering computing; data acquisition; decision making; decision support systems; environmental science computing; knowledge based systems; lakes; multi-agent systems; sustainable development; water pollution control; environmental problem; human health; information acquisition; information processing system; intelligent decision support system; intelligent decision-making algorithm; lake water environment; lake water pollution control; multiagent model; socio-economic sustainable development; Decision making; Decision support systems; Environmental economics; Environmental factors; Humans; Intelligent control; Intelligent systems; Lakes; Sustainable development; Water pollution; Intelligent Decision Support System; lake water pollution control; multi-agent model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5411-2
Type
conf
DOI
10.1109/CIS.2009.79
Filename
5376628
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