DocumentCode :
498973
Title :
Environmental quality comprehensive evaluation of tailing reservoir based on information entropy and fuzzy mathematics
Author :
Si, Chun-di ; En-Li Chen ; Wang, En-li Chen Cui-yan
Author_Institution :
Shijiazhuang Railway Inst., Shijiazhuang, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
625
Lastpage :
630
Abstract :
The environment of tailing reservoir greatly affects the environment around it. In this paper, a fuzzy analytic hierarchy process model is established to evaluate the environmental quality of tailing reservoir. By using of information entropy, a new weight calculation method which can evaluate the quality of information given by evaluation specialists is given, to amend the index subjective weight given by specialists through analytic hierarchy process. The expert scoring method is used to express the environmental quality of each evaluation index, finally the environmental quality situation of tailing reservoir is gained. A case study indicates that the environmental quality comprehensive evaluation model based on information entropy and fuzzy mathematics could deal with the uncertainty in the analytic process, the evaluation results are scientific and rational, thus a new way is provided to research on the environmental quality comprehensive evaluation of tailing reservoir.
Keywords :
decision making; decision theory; entropy; environmental factors; fuzzy set theory; reservoirs; environmental quality comprehensive evaluation index; expert scoring method; fuzzy analytic hierarchy process model; fuzzy mathematics; information entropy; tailing reservoir; weight calculation method; Cybernetics; Information analysis; Information entropy; Machine learning; Mathematical model; Mathematics; Reservoirs; Stability; Water pollution; Water resources; Environmental quality; Fuzzy comprehensive evaluation; Information entropy; Tailing reservoir;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212395
Filename :
5212395
Link To Document :
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