[1]彭海艳. 影响中国农村居民消费结构的多因素实证分析[J]. 财贸研究,2009,20(1):30-35.
[2]孙颖. 中国农民消费特征及影响因素实证分析[D]. 北京:北方工业大学,2008.
[3]于乐,陈明华,黄瑞宝. 促进农村居民消费需求扩张的对策分析[J]. 资源开发与市场,2006,22(3):242-244.
[4]韩星焕,王厦. 吉林省农村居民消费现状分析与消费趋势预测[J]. 吉林农业大学学报,2013,35(1):111-120.
[5]山世英. 山东省农民消费特点及其趋势研究[J]. 莱阳农学院学报:社会科学版,2000(3):12-14.
[6]温丽华. 灰色系统理论及其应用[D]. 哈尔滨:哈尔滨工程大学,2003.
[7]林和平,姜春燕,张荣松,等. 灰因子分析研究及其应用[J]. 东北师大学报:自然科学版,2008,40(3):57-62.
[8]Kung L M,Yu S W. Prediction of index futures returns and the analysis of financial spillovers—a comparison between GARCH and the grey theorem[J]. European Journal of Operational Research,2008,186(3):1184-1200.
[9]山水. 2012年各省恩格尔系数排名[EB/OL]. [2015-08-15]. http://www.elivecity.cn/html/ChengShijingji/shouru/1053.html,2014.4.26.
[1]何志华,夏燕,李清超,等.大豆产量及主要农艺性状的相关性及灰色关联度分析[J].江苏农业科学,2016,44(11):99.
He Zhihua,et al.Correlation and grey correlative degree analysis between yield and main agronomic traits of soybean[J].Jiangsu Agricultural Sciences,2016,44(12):99.
[2]郝振萍,金潇潇,王长义,等.鲜食蚕豆苗期耐盐品种的筛选[J].江苏农业科学,2016,44(12):198.
Hao Zhenping,et al.Screening of fresh-eating fababean varieties with salt tolerance at seedling stage[J].Jiangsu Agricultural Sciences,2016,44(12):198.
[3]黄路梅,梁虹,焦树林,等.基于可变模糊和灰色理论的贵州省农业旱灾脆弱性评价[J].江苏农业科学,2017,45(04):239.
Huang Lumei,et al.Assessment of agricultural drought vulnerability based on variable fuzzy and gray theory in Guizhou Province[J].Jiangsu Agricultural Sciences,2017,45(12):239.
[4]陈静,沈生元,谢庆春,等.甜玉米鲜穗产量与主要农艺性状的灰色关联度分析[J].江苏农业科学,2017,45(10):48.
Chen Jing,et al.Grey relational analysis of major agronomic traits and fresh ear yield of sweet corn[J].Jiangsu Agricultural Sciences,2017,45(12):48.
[5]陈慧,王冀川.基于灰色关联度及DTOPSIS法的南疆冬小麦品种的综合评判[J].江苏农业科学,2019,47(10):102.
Chen Hui,et al.Comprehensive evaluation of winter wheat varieties in southern Xinjiang based on grey relational grade and DTOPSIS method[J].Jiangsu Agricultural Sciences,2019,47(12):102.
[6]董奋义,齐冰.基于灰关联的农业科技投入产出滞后期确定及DEA效率测度[J].江苏农业科学,2019,47(20):322.
Dong Fenyi,et al.Determination of lagging between agricultural sci-tech input and output based on gray incidence and DEA efficiency measurement[J].Jiangsu Agricultural Sciences,2019,47(12):322.
[7]顾帆,郑绍宇,沈鸿明,等.基于灰色关联度分析评价紫薇品种花部观赏性状[J].江苏农业科学,2019,47(24):93.
Gu Fan,et al.Evaluation of ornamental characteristics for flowers of Lagerstroemia indica cultivars based on grey relational analysis[J].Jiangsu Agricultural Sciences,2019,47(12):93.
[8]叶红云,熊黑钢,包青岭,等.基于灰度关联-极限学习机的土壤有机质含量高光谱多尺度反演[J].江苏农业科学,2019,47(24):289.
Ye Hongyun,et al.Hyperspectral multi-scale inversion of soil organic matter content based on gray correlation-extreme learning machine[J].Jiangsu Agricultural Sciences,2019,47(12):289.
[9]付伟,周宝同,田雨.重庆市荣昌区土地利用变化与驱动力研究[J].江苏农业科学,2020,48(06):214.
Fu Wei,et al.Study on land use change and driving forces in Rongchang District, Chongqing City[J].Jiangsu Agricultural Sciences,2020,48(12):214.
[10]李百云,李慧,郭鑫年,等.基于最小数据集的宁夏耕地土壤质量评价[J].江苏农业科学,2021,49(9):195.
Li Baiyun,et al.Evaluation of soil quality of cultivated land in Ningxia area based on minimum data set[J].Jiangsu Agricultural Sciences,2021,49(12):195.