DocumentCode
2807900
Title
ANP-Based Comparisons of Land Consolidation Projects Study
Author
Liu, Chun-fang ; Shi, Pei-ji
Author_Institution
Sch. of Geogr. & Environ. Sci., Northwest Normal Univ., Lanzhou, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Land consolidation has played an important role to improve the land utilization and the ecological environment as well to promote the sustainable use of land resources. The scientific, rationality of land consolidation has significant function to the overall efficiency. This paper reviewing some recent advances in methods of evaluation in land consolidation, combining with the projects feature, using and selecting 60 indicators in 5 major categories, constitutes the evaluation index system of comparisons of land consolidation projects and introduces ANP method in land consolidation program comprehensive selection to establish ANP evaluation model for comparisons of land consolidation projects. A great number of uncertainty, fuzziness and random factors and the mutual influence and dependence among the factors in program selection process are analyzed with the ANP method. The practicability of the ANP model is testified through the analysis of the Gaoyan mountain land development and consolidation project in Lanzhou Gansu province. ANP method applied in the field of land consolidation projects is an important reference to decision-making.
Keywords
decision making; ecology; fuzzy set theory; ANP-based comparisons; Gaoyan mountain; Lanzhou Gansu province; decision-making; ecological environment; land consolidation; land consolidation projects; land utilization; random factors; Decision making; Diversity reception; Economic indicators; Feedback; Geography; Humans; Process planning; Resource management; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5362823
Filename
5362823
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