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| Titel |
Nonlinear optimization set pair analysis model (NOSPAM) for assessing water resource renewability |
| VerfasserIn |
X. H. Yang, X. J. Zhang, X. X. Hu, Z. F. Yang, J. Q. Li |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 5 ; Nr. 18, no. 5 (2011-09-19), S.599-607 |
| Datensatznummer |
250013967
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| Publikation (Nr.) |
 copernicus.org/npg-18-599-2011.pdf |
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| Zusammenfassung |
| There is much uncertain information which is very difficult to quantify in
the water resource renewability assessment (WRRA). The index weights are the
key parameters in the assessment model. To assess the water resource
renewability rationally, a novel nonlinear optimization set pair analysis
model (NOSPAM) is proposed, in which a nonlinear optimization model based on
gray-encoded hybrid accelerating genetic algorithm is given to determine the
weights by optimizing subjective and objective information, as well as an
improved set pair analysis model based on the connection degree is
established to deal with certain-uncertain information. In addition, a new
calculating formula is established for determining certain-uncertain
information quantity in NOSPAM. NOSPAM is used to assess the water resource
renewability of the nine administrative divisions in the Yellow River Basin.
Results show that NOSPAM can deal with the uncertain information, subjective
and objective information. Compared with other nonlinear assessment methods
(such as the gray associate analysis method and fuzzy assessment method),
the advantage of NOSPAM is that it can not only rationally determine the
index weights, but also measure the uncertain information quantity in the
WRRA. This NOSPAM model is an extension to nonlinear assessment models. |
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