基于改进层次分析法的农业科技成果转化资金绩效评价研究  被引量:4

Research on performance evaluation of agricultural science and technology achievements transformation funds based on improved analytic hierarchy process

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作  者:张荣庆[1] 王柯淇 ZHANG Rong-qing;WANG Ke-qi(Hanzhong Vocational and Technical College,Hanzhong 723002,Shaanxi,China;School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi’an 710021,China)

机构地区:[1]汉中职业技术学院,陕西汉中723002 [2]陕西科技大学电子信息与人工智能学院,西安710021

出  处:《湖北农业科学》2021年第21期183-187,共5页Hubei Agricultural Sciences

基  金:陕西省自然科学基金项目(20SX873010)。

摘  要:构建了包含4个一级指标、11个二级指标的绩效评价指标体系,同时采用遗传算法对传统层次分析法的一致性指标进行优化,构建了基于改进层次分析法的农业科技成果转化资金绩效评价模型。采用构建的模型对农业科技成果转化绩效以及不同技术领域农业科技成果转化绩效进行评价。结果表明,中国的农业科技成果在转化过程中遇到了瓶颈,种植业技术的成果转化效率最高。This research constructed a performance evaluation index system including four first-class indexes and eleven second-class indexes.At the same time,genetic algorithm was used to optimize the consistency index of the traditional analytic hierarchy process,and a performance evaluation model of agricultural scientific and technological achievements transformation funds based on the improved analytic hierarchy process was constructed.The model was used to evaluate the transformation performance of agricultural scientific and technological achievements and the transformation performance of agricultural scientific and technological achievements in different technical fields.The results showed that the transformation process of agricultural scientific and technological achievements in China encountered bottlenecks,and the transformation efficiency of planting technology was the highest.

关 键 词:改进层次分析法 遗传算法 农业科技成果转化 

分 类 号:F322[经济管理—产业经济]

 

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