Agricultural Drought Vulnerability Evaluation of Gansu Province
Received date: 2017-09-01
Revised date: 2017-09-29
Online published: 2018-05-31
Address to the multidimensionality and the uncorrelation of agricultural drought vulner-ability evaluation indicators a new method, projection pursuit based on the improved shufed frog leaping algorithm, is used to evaluate the agricultural drought vulnerability. By combining the chemotaxis operation of bacteria foraging algorithm with the shufed frog leaping algorithm, the method enhances the individual refnement searching ability within solution domain and improves the optimizing accuracy and stability of the projection pursuit model. The proposed method searches for the optimal projection direction and acquires evaluation index weights basing on characteristics of sample data, accordingly, reducing the interference of artifcial empowerment with evaluation results of objectivity. The feasibility and validity of the method are verifed by the analyzing and evaluating the agricultural drought vulnerability data in 14 regions of Gansu province.
DAI Yong-qiang, WANG Lian-guo, HU Bin . Agricultural Drought Vulnerability Evaluation of Gansu Province[J]. Journal of Applied Sciences, 2018 , 36(3) : 515 -523 . DOI: 10.3969/j.issn.0255-8297.2018.03.011
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