
多要素评价中指标权重的确定方法评述
Review on the Weighting Methods of Indexes in the Multi-Factor Evaluation
[目的/意义] 对目前常见的多要素评价中指标权重的确定方法进行系统梳理,为相关研究人员在进行具体问题评价时的指标权重确定方法的合理选择提供参考。[方法/过程] 通过对几种常见的主观赋权法、客观赋权法以及主客观综合集成赋权法中具体确定指标权重方法的基本原理与思想、具体应用案例进行深入调研,分析总结其优缺点以及适用范围。[结果/结论] 迄今还没有一种完全通用和普适的指标权重确定方法,不同指标权重确定方法的原理与指导思想不同,因而其适用范围也有所差异,在进行实际问题评价时,要依据评估对象的特点合理选择赋权方法,以提高综合评价的准确性和有效性。
[Purpose/Significance] This paper systematically combs the common weighting methods of indexes to provide a reference for the relevant staff in determining the reasonable weighting methods for specific evaluation problems. [Method/Process] The paper analyzed the fundamental principles, the concrete application cases, the advantages and disadvantages, the application scopes of the common weighting methods. [Result/Conclusion] The application scopes of different weighting methods differ from each other. In the evaluation of practical problems, the weighting methods should be selected according to the characteristics of the evaluation object to improve the accuracy and effectiveness of the comprehensive evaluation.
[1] |
谢季坚, 刘承平. 模糊数学方法及其应用[M]. 武汉: 华中科技大学出版社, 2006:149-179.
|
[2] |
镇常青. 多目标决策中国权重调查确定方法[J]. 系统工程理论与实践, 1987, 7(2): 16-24.
|
[3] |
SHANDS F, LEVARY R R. Weighting the importance of various teacher behaviors by use of the delphi method[J]. Education, 1986, 106(3): 306-320.
|
[4] |
刘璐, 戴昕. 供热系统节能评价指标权重确定方法的研究[J]. 建筑节能, 2015, 43(7): 112-115.
|
[5] |
石振武, 赵敏. 运用层次分析法确定指标的权值[J]. 科技和产业, 2008, 8(2): 23-25.
|
[6] |
SHEN R, MENG X, YU Y. Analytic hierarchy process applied to synthetically evaluate the labour intensity of jobs[J]. Ergonmics, 1990, 33(7): 867-874.
|
[7] |
楚存坤, 孙思琴, 韩丰谈. 基于层次分析法的高校图书馆学科服务评价模式[J]. 大学图书馆学报, 2014(6): 86-90.
|
[8] |
马农乐, 赵中极. 基于层次分析法及其改进对确定权重系数的分析[J]. 水利科技与经济, 2006, 12(11): 732-733, 736.
|
[9] |
程明熙.处理多目标决策问题的二项系数加权和法[J]. 系统工程理论与实践, 1983(4): 23-26.
|
[10] |
赵书立.实验室设备投资评价中权数的计算方法[J]. 石油教育, 1994, 33(S1): 8-12.
|
[11] |
刘富强, 鲁志航, 吕呈新, 等. 基于组合赋权法的抽蓄工程开挖工期影响因素分析[J]. 水电与新能源, 2017(6): 40-43, 72.
|
[12] |
陆明生.多目标决策中的权系数[J]. 系统工程理论与实践, 1986(4): 77-78.
|
[13] |
陈志刚, 周丹. 基于环比倍乘评分法的上海市创新型城市阶段评价[J]. 消费导刊, 2008(16): 175.
|
[14] |
XIE J, QIN Y, M X, et al. The fuzzy comprehensive evaluation of the highway emergency plan based on G1 method[C]//3rd IEEE international conference on computer science and information technology (ICCSIT).Chengdu: IEEE, 2010: 313-316.
|
[15] |
薛会琴. 多属性决策中指标权重确定方法的研究[D]. 兰州:西北师范大学, 2008: 10-43.
|
[16] |
时光新, 王其昌, 刘建强. 变异系数法在小流域治理效益评价中的应用[J]. 水土保持通报, 2000, 20(6): 47.
|
[17] |
ZHENG H P, XUE M, HAN Y, et al. Application of the variation coefficient method to comprehensive evaluation of wind farms[J/OL]. Applied mechanics & materials, 2014[2017-06-25]. https://www.scientific.net/AMM.488-489.1447.
|
[18] |
苏为华.多指标综合评价理论与方法问题研究[D]. 厦门: 厦门大学, 2000:12-38.
|
[19] |
金星日, 尹锡杰, 许虎男.主成分分析法在工业企业经济效益综合评价中的应用[J]. 数理统计与管理, 1997, 16(6): 15-18.
|
[20] |
PRADO B Q D, FERNANDES H R, ARAUJO T G, et al. Evaluation of climatological variables in Uberlandia (MG) by principal component analysis[J]. Engenharia sanitaria e ambiental, 1990, 21(2): 407-413.
|
[21] |
HARTE J M, KOELE P, ENGELENBURG G V. Estimation of attribute weights in a multi-attribute choice situation[J]. Acta psychological, 1996, 93(1/3): 37-55.
|
[22] |
万建强, 文洲. 因子分析在上市公司经营业绩评价中的运用[J]. 预测, 2001, 20(5): 39-42.
|
[23] |
BAI A, HIRA S, DESHPANDE, P S. An application of factor analysis in the evaluation of country economic rank[C]//11th international conference on data mining and warehousing(ICDMW). Bangalore: Elsevier, 2015: 311-317.
|
[24] |
焦利明, 杨建立. 一种确定指标权重的新方法[J]. 指挥控制与仿真, 2006, 28(1): 94-97, 101.
|
[25] |
焦利明, 冯世立, 邓长江. 基于向量相似度赋权法的C~3I系统效能评估[J]. 火力与指挥控制, 2005, 30(S1): 204-206.
|
[26] |
谢平, 肖婵, 雷红富, 等. 基于向量相似度原理的湖泊富营养化评价方法及其验证[J]. 安全与环境学报, 2008, 8(4): 93-96.
|
[27] |
周斌. 由灰色关联度确定权重的客观多目标决策法[J]. 昆明理工大学学报(理工版), 2003, 28(5): 159-161.
|
[28] |
马峙英, 石书琰. 灰色关联度分析在评价棉花品种中的应用初探[J]. 河北农业大学学报, 1987(4): 121-128.
|
[29] |
HO C T. Measuring bank operations performance: an approach based on grey relation analysis[J]. Journal of the Operational Research Society, 2006, 57(4): 337-349.
|
[30] |
张文泉, 张世英, 江立勤. 基于熵的决策评价模型及应用[J]. 系统工程学报, 1995, 10(3): 69-74.
|
[31] |
朱顺泉, 张尧庭. 上市公司财务状况的熵值模糊综合评价模型[J]. 山西财经大学学报, 2002(5): 101-103.
|
[32] |
GORGIJ A D, KISI O, MOGHADDAM A A, et al. Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index[J]. Environmental earth sciences, 2017, 76(7): 261-269.
|
[33] |
钟嘉鸣, 李订芳. 基于粗糙集理论的属性权重确定最优化方法研究[J]. 计算机工程与应用, 2008, 44(20): 51-53.
|
[34] |
WC I P, BQ HU, H W, et al. Applications of rough set theory to river environment quality evaluation in China[J]. Water resourcess, 2007, 34(4): 459-470.
|
[35] |
邹斌, 李侠, 温家武. 基于优势关系灰色粗糙集的能源消费评价分析[J]. 哈尔滨师范大学自然科学学报, 2013, 29(1): 23-26.
|
[36] |
孙会君, 王新华. 应用人工神经网络确定评价指标的权重[J]. 山东科技大学学报(自然科学版), 2001, 20(3): 84-86.
|
[37] |
JU C H, LIANG Y, LIU D S. A kind of E-government website evaluation method based on neural network[C]//IEEE international conference on e-business engineering. Shanghai: IEEE, 2006:407-413.
|
[38] |
SILVA S F, ANJOS C A, CAVALCANTI R N, et al. Evaluation of extra virgin olive oil stability by artificial neural network[J]. Food chemistry , 2015, 179(7): 35-43.
|
[39] |
YANG L Q, LIANG X D, DENG FM, et al. Risk assessment of supply chain based on combination weighting method and grey theory[C]//IEEE international conference on industrial engineering and engineering management(IEEM). Singapore: IEEE, 2015: 895-899.
|
[40] |
LU C, LI L, WU D. Application of combination weighting method to weight calculation in performance evaluation of ICT[C]//15th IEEE international conference on advanced learning Technologies(ICALT). Hualien: IEEE, 2015:258-259.
|
[41] |
MENG B, CHI G T. New combined weighting model based on maximizing the difference in evaluation results and its application[J]. Mathematical problems in engineering, 2015(8): 1-9.
|
[42] |
JIANYUAN Y, HAILING G, LEI Z. Research of the evaluation index system of learning city–based on the data of China’s four municipalities[C]//Workshop on electrical engineering and automation. Beijing: Springer, 2011: 491-497.
|
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|
〉 |