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Titel |
A fuzzy intelligent system for land consolidation – a case study in Shunde, China |
VerfasserIn |
J. Wang, A. Ge, Y. Hu, C. Li, L. Wang |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1869-9510
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Digitales Dokument |
URL |
Erschienen |
In: Solid Earth ; 6, no. 3 ; Nr. 6, no. 3 (2015-08-20), S.997-1006 |
Datensatznummer |
250115508
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Publikation (Nr.) |
copernicus.org/se-6-997-2015.pdf |
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Zusammenfassung |
Traditionally, potential evaluation methods for farmland consolidation have
depended mainly on the experts' experiences, statistical computations or
subjective adjustments. Some biases usually exist in the results. Thus,
computer-aided technology has become essential. In this study, an
intelligent evaluation system based on a fuzzy decision tree was
established, and this system can deal with numerical data, discrete data and
symbolic data. When the original land data are input, the level of potential
of the agricultural land for development will be output by this new model.
The provision of objective proof for decision-making by authorities in rural
management is helpful. Agricultural land data characteristically comprise
large volumes, complex varieties and more indexes. In land consolidation, it
is very important to construct an effective index system. A group of indexes
need to be selected for land consolidation. In this article, a fuzzy measure
was adopted to accomplish the selection of specific features. A
fuzzy integral based on a fuzzy measure is a type of fusion tool. The
optimal solution with the fewest non-zero elements was obtained for the fuzzy
measure by solving a fuzzy integral. This algorithm provides a quick and
optimal way to identify the land-index system when preparing to conduct land
consolidation. This new research was applied to Shunde's "Three Old"
consolidation project which provides the data. Our estimation system was
compared with a conventional evaluation system that is still accepted by the
public. Our results prove to be consistent, and the new model is more
automatic and intelligent. The results of this estimation system are
significant for informing decision-making in land consolidation. |
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