农业机械化发展水平关键影响因素辨识及权重研究——基于模糊GRA-DANP  

Research on the Identification and Weight of Key Influencing Factors of Agricultural Mechanization Development Level——Based on Fuzzy GRA-DANP

作　　者：吴智胜 赵永满[1] 周雪 魏子凯 彭慧杰[1] Wu Zhisheng;Zhao Yongman;Zhou Xue;Wei Zikai;Peng Huijie(College of Mechanical and Electrical Engineering,Shihezi University,Shihezi 832000,China)

机构地区：[1]石河子大学机械电气工程学院,新疆石河子832000

出　　处：《农机化研究》2023年第2期1-8,28,共9页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(51445015)。

摘　　要：针对农业机械化发展水平各影响因素之间存的在相互影响关系,构建了一种基于指标关联度的模糊GRA-DANP模型,辨识并量化农业机械化发展水平的关键影响因素。基于对现有文献的研究,构建农业机械化发展水平评价指标体系,通过灰色关联分析计算影响因素间的灰色关联度进而构建直接影响矩阵,并运用DEMATEL方法分析影响因素之间的因果关系,计算各影响因素的中心度、原因度并构建因果关系图,引入模糊DANP方法确定各影响因素的全局权重。在此基础上,运用模糊GRA-DANP模型和新疆生产建设兵团客观数据进行实证研究,得知兵团农业机械化发展水平各影响因素之间的因果关系和全局权重,辨识出农业劳均播种面积、第一产业劳动力占总劳动力比重、农业劳动生产率、百元农机原值纯收入及单位播种面积农机动力是兵团农业机械化发展水平的关键影响因素。Aiming at the mutual influence between the various factors affecting the development level of agricultural mechanization,a fuzzy GRA-DANP model based on index correlation is constructed to identify and quantify the key factors affecting the development level of agricultural mechanization.Based on the research of the existing literature,construct the evaluation index system of the development level of agricultural mechanization,calculate the gray correlation degree between the influencing factors through gray correlation analysis and then construct the direct influence matrix,use the DEMATEL method to analyze the causal relationship between the influencing factors,and calculate the centrality and cause degree of each influencing factor and construct a causality diagram,and the fuzzy DANP method is introduced to determine the overall weight of each influencing factor.On this basis,using the fuzzy GRA-DANP model and the objective data of Xinjiang Production and Construction Corps to conduct empirical research,obtained the overall weight and causal relationship between the various influencing factors of the agricultural mechanization development level of XPCC,and identified the average sown area of agricultural labor,the proportion of the labor force in the primary industry in the total labor force,the agricultural labor productivity,the original value of the one hundred yuan of agricultural machinery net income and the power of agricultural machinery per sown area are key influencing factors of the agricultural mechanization development level of XPCC.

关 键 词：农业机械化 关键影响因素 权重 模糊GRA-DANP 

分 类 号：S23-01[农业科学—农业机械化工程]