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基于灰色关联和G(1,1)的多目标农业技术创新主体投资结构优化研究 被引量:1

Study on Optimization of Investment Structure of Multi-objective Bodies of Agricultural Technology Innovation Based on Grey Correlation and GM(1,1)
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摘要 针对多目标农业技术创新主体投资收益低于预期收益问题,提出了多目标二级灰色优化方法。在满足较低水平最优目标和灰色区间预测值内,以主体投资与较高水平目标的灰色关联度为权重,从而把多目标灰色优化转化为单目标线性规划。并给出了主体投资的非劣策略。最后对1990~2006年时间序列进行实证分析和改进区间预测,得到更加有价值的区间,并发现农户投资行为对创新效益的贡献率最大,同时得到了满足农户最优目标条件下的非劣行为策略,验证了该方法的有效性。 For the problem that investment return of multi-objective bodies of agricultural technology innovation is lower than the expected return,a two-class grey multi-objective optimization method is proposed.Meeting the optimal lower-level target,within the grey forecast range,grey relational degree between investment bodies and higher level target is found.As a weight,the relevancy is used to change the multi-objective grey optimization into a single objective one.And the non-poor strategies in investment are given.Finally,empirical analysis and improved interval forecast are carried out for 1990-2006 time series,the more valuable interval is given,and the results are found that farms'investments in innovation make the most effect on innovation.Non-inferior behavioral strategies are obtained under farmers'optimal target,finally,the validity of this method are proved.
出处 《安徽农业科学》 CAS 北大核心 2011年第21期13218-13220,共3页 Journal of Anhui Agricultural Sciences
基金 黑龙江省农垦总局科技局项目(HNKXIV-12-15-04)
关键词 农业技术创新 投资主体 多目标线性规划 灰色关联度 区间预测 Agricultural technology innovation Investment bodies Multi-objective linear programming Grey relational degree Interval forecast
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