［1］ 康士勇. 薪酬福利管理［M］. 北京: 中国劳动出版社, 2007.Kang Shiyong. Salary and welfare management［M］. Beijing: China Labor Press, 2007.
［2］ 杨河清.劳动经济学［M］.北京:中国人民大学出版社，2002. Yang Heqing. Labor economics［M］. Beijing: China Renmin University Press, 2002.
［3］ 田建邦. 高校中层管理干部绩效考核研究［D］. 西安: 西北大学, 2012.Tian Jianbang. Research on performance appraisal of middle-level management cadres in colleges and universities［D］. Xi’an: Northwest University, 2012.
［4］ 张建红，JPaul Elhorst, Arjen van Witteloostuijn. 中国地区工资水平差异的影响因素分析［J］. 经济研究, 2006(10): 63-72.Zhang Jianhong, J.PaulElhorst, Arjen van Witteloostuijn.Analysis on the influencing factors of regional wage differences in China［J］. Economic Research Journal, 2006(10): 63-72.
［5］ 林成德, 彭国兰. 随机森林在企业信用评估指标体系确定中的应用［J］. 厦门大学学报, 2007(2): 199-203.Lin Chengde, Peng Guolan. Application of random forest in the determination of enterprise credit evaluation index system［J］. Journal of Xiamen University, 2007(2): 199-203.
［6］ Fantazzini D, Figini S. Random survival forests models for SME credit risk measurement［J］. Methodology and Computing in Applied Probability, 2009, 11(1): 29-45.
［7］ 臧雷振. 政府治理效能如何促进国家创新能力：全球面板数据的实证分析［J］. 中国行政管理, 2019(1): 121-127.Zang Leizhen. How government governance effectiveness promotes national innovation capacity: An empirical analysis of global panel data［J］. Chinese Public Administration, 2019(1): 121-127.
［8］ Keely L C,Chih Ming Tan. Understanding preferences for income redistribution［J］. Journal of Public Economics,2008, 92(5-6): 944-961.
［9］ Bart, Dirk V P. Predicting customer retention and profitability by using random forests and regressionforests techniques［J］. Expert Systems with Applications, 2005, 29(2): 472-484.
［10］ 吴潇雨,和敬涵,张沛,等.基于灰色投影改进随机森林算法的电力系统短期负荷预测［J］.电力系统自动化,2015,39(12):50-55.Wu Xiaoyu, He Jinghan, Zhang Pei, etal. Short-term load forecasting of power system based on grey projection improved random forest algorithm［J］. Automation of Electric Power Systems, 2015. 39(12): 50-55.
［11］ Genuer R, Poggi J M, Tuleau-Malot C. Variable selection using random forests［J］. Pattern Recognition Letters, 2010, 31(14): 2225-2236.
［12］ More, Anjal S,Rana D P. An experimental assessment of random forest classification performance improvisation with sampling and stage wise success rate calculation［J］. Procedia Computer Science, 2020, 167: 1711-1721.
［13］ 韩兆洲, 魏章进. 基于灰色系统模型的最低工资研究［J］. 数学的实践与认识, 2005(9): 99-104.Han Zhaozhou, Wei Zhangjin. Research on minimum wage based on grey system Model［J］. Journal of Mathematics in Practice and Theory, 2005(9): 99-104.
［14］ 刘思峰, 蔡华, 杨英杰,等. 灰色关联分析模型研究进展［J］. 系统工程理论与实践, 2013, 33(8): 2041-2046.Liu Sifeng, Cai Hua, Yang Yingjie, et al. Research progress of grey relational analysis model［J］. System Engineering Theory and Practice, 2013, 33(8): 2041-2046.
［15］ 彭晓, 彭启发. 灰色关联法分析上市公司高管薪酬与公司绩效、公司治理结构间关系［J］. 财会通讯，2010(10): 119-122.Peng Xiao, Peng Kai. Analysis on the relationship between executive compensation, corporate performance, and corporate governance structure of listed companies with grey correlation method［J］. Communication of Finance and Accounting, 2010(10): 119-122.
［16］ 何广文. 中国农村金融转型与金融机构多元化［J］. 中国农村观察, 2004(2): 12-20.He Guangwen. China’s rural financial transformation and diversification of financial institutions ［J］. China Rural Survey, 2004(2): 12-20.
［17］ 谢平. 中国农村信用合作社体制改革的争论［J］. 金融研究, 2001(1): 1-13.Xie Ping. Debate on the system reform of rural credit cooperatives in China ［J］. Journal of Financial Research, 2001(1): 1-13.
［18］ 曾湘泉. 构建责任与权限相统一的公务员薪酬制度和治理体系［J］. 中国人民大学学报, 2018, 32(3): 135-144.Zeng Xiangquan. The establishment of civil servants’ compensation system and governance model in which responsibilities and authorities are combined［J］. Journal of Renmin University of China, 2018, 32(3): 135-144.
［19］ 刘昕.三大工资体系的特色及其发展趋势［J］. 中国人力资源开发， 1993(5): 39-42+22.Liu Xin. The characteristics and development trend of the three major wage systems［J］. Human Resources Development in China, 1993(5): 39-42+22.
［20］ 熊亮. 我国科研事业单位工资制度改革的趋势、脉络和建议［J］. 中国行政管理, 2019(3): 34-41.Xiong Liang. Trends, venation, and suggestions of wage system reform in scientific research institutions in China ［J］. ChineesPublic Administration, 2019(3): 34-41.
［21］ 张红宇. 中国农村金融组织体系：绩效、缺陷与制度创新［J］. 中国农村观察, 2004(2): 2-11+80.Zhang Hongyu. China’s rural financial organization system: Performance, defects, and institutional innovation ［J］. China Rural Survey, 2004(2): 2-11+80.
［22］ 周小川. 深化农村金融改革，进一步提升农村信用社资本及其质量［J］. 投资研究, 2012(1): 6-16.Zhou Xiaochuan. Deepen rural financial reform and further improve the capital and quality of rural credit cooperatives［J］. Review of Investment Studies, 2012(1): 6-16.
［23］ 李刚, 鲁俊伟. 探索农村金融改革新思路［J］. 中国科技信息, 2005(9): 187-204.Li Gang, Lu Junwei. Explore new ideas of rural financial reform［J］. China Science and Technology Information, 2005(9): 187-204.
［24］ 邓聚龙. 灰色系统综述［J］. 世界科学, 1983(7): 1-5.Deng Julong. Summary of grey system［J］. World Science, 1983(7): 1-5.
［25］ Wei Guiwu. Grey relational analysis model for dynamic hybrid multiple attribute decision making［J］. Knowledge-Based Systems, 2011, 24(5): 672-679.
［26］ Emil S, Camelia D, Virginia M, et al. Grey relational analysis between firm’s situation and its possible causes-A bankruptcy syndrome perspective［C］//Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, Nanjing, 2011: 49-53.
［27］ Andrew, Alex M. Why the world is grey［J］.Grey Systems: Theory and Application, 2011(2): 10-12.
［28］ Leo B. Random forests［J］. Machine Learning, 2001, 45(1): 5-32.
［29］ Thomas G D. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization［J］. Machine Learning, 2000, 40(2): 139-157.
［30］ David H W, William G M. An efficient method to estimate bagging’s generalization error［J］. Machine Learning, 1999, 35(1): 41-55.
［31］ Caliendo M, Fedorets A, Preuss M, et al. The short-run employment effects of the German minimum wage reform［J］. Labour Economics, 2018, 53: 46-62.
［32］ 方匡南, 吴见彬, 朱建平,等. 随机森林方法研究综述［J］. 统计与信息论坛, 2011(3): 32-38.Fang Kuangnan, Wu Jianbin, Zhu Jianping, et al. A review of random forest methods［J］. Journal of Statistics and Information Forum, 2011(3): 32-38.
［33］ 李欣海. 随机森林模型在分类与回归分析中的应用［J］. 应用昆虫学报, 2013(4): 1190-1197.Li Xinhai. Application of stochastic forest model in classification and regression analysis［J］. Chinese Journal of Applied Entomology, 2013(4): 1190-1197.
［34］ Probst P, Wright M N, Boulesteix A L. Hyperparameters and tuning strategies for random forest［J］. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019, 9(3): 1301-131.
［35］ 王奕森, 夏树涛. 集成学习之随机森林算法综述［J］. 信息通信技术, 2018, 12(1): 49-55.Wang Yisen, Xia Shutao. A survey of random forest algorithms for integrated learning［J］. Information and Communications Technologies, 2018, 12(1): 49-55.
［36］ Seashore S E. 3-A framework for an integrated model of organizational effectiveness［M］//Cameron K S, Whetten D A. Organizational Effectiveness, Academic Press, 1983: 55-70.
［37］ Hashemi S H, Karimi A, Tavana M. An integrated green supplier selection approach with analytic network process and improved Grey relational analysis［J］. International Journal of Production Economics, 2015, 159: 178-191.
［38］ 王化成,刘俊勇.企业业绩评价模式研究——兼论中国企业业绩评价模式选择［J］.管理世界,2004, 20(4):82-91+116.Wang Huacheng, Liu Junyong. Research on enterprise performance evaluation model——also on the selection of Chinese enterprise performance evaluation model ［J］. Management World, 2004, 20(4): 82-91+116.
［39］ Dess G, Robinson Jr R B. Measuring organizational performance in the absence of objective measures: The case of the privately held firm and conglomerate business unit［J］. Strategic Management, 1984,5(3):265-273.
［40］ Ghasemi N,Najafi E,Lotfi F H, et al. Assessing the performance of organizations with the hierarchical structure using data envelopment analysis: An efficiency analysis of Farhangian University［J］. Measurement,2020,156:107609.
［41］ 许保光, 徐静. 具有风险传导特征的信息加工业务薪酬激励研究［J］. 中国管理科学, 2019, 27(10): 128-137.Xu Baoguang, Xu Jing. Research on salary incentive mechanism for information processing business with risk conduction［J］.Chinese Journal of Management Science, 2019, 27(10): 128-137.
|
