基于R型聚类的层次型DEMATEL分析方法
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摘要
为克服DEMATEL方法无法处理复杂系统中具有层次结构的问题,依据思维法则学的理论思想,提出了一种基于R型聚类分析的层次型DEMATEL决策新方法.相对于传统DEMATEL方法具有两方面的优势.其一,在复杂系统环境下充分考虑了因素间具有层次结构的特点,将决策问题涉及的因素进行合理的层次划分.其二,在分析具有大量因素中因素排序问题时,合理筛选典型因素后再进行排序,有效减少了不必要的计算量.
In order to overcome the problem that the DEMATEL method can not deal with the hierarchical structure of complex systems, a new DEMATEL decision method based on R-clustering analysis is proposed based on the theoretical thinking of the theory of thought laws. It has two advantages over the traditional DEMATEL method. First, under the complex system environment, the characteristics of hierarchical structure among factors are fully considered, and the factors involved in the decision-making problem are divided into reasonable levels. Second, when analyzing the problem of sorting the factors in a large number of factors, the rational selection of typical factors before sorting effectively reduces unnecessary calculations. The numerical analysis shows that the new method has better factorial ability and screening effect, so it has better application effectiveness.
In order to overcome the problem that the DEMATEL method can not deal with the hierarchical structure of complex systems, a new DEMATEL decision method based on R-clustering analysis is proposed based on the theoretical thinking of the theory of thought laws. It has two advantages over the traditional DEMATEL method. First, under the complex system environment, the characteristics of hierarchical structure among factors are fully considered, and the factors involved in the decision-making problem are divided into reasonable levels. Second, when analyzing the problem of sorting the factors in a large number of factors, the rational selection of typical factors before sorting effectively reduces unnecessary calculations. The numerical analysis shows that the new method has better factorial ability and screening effect, so it has better application effectiveness.
引文
[1] Bacudio L R, Benjamin M F D, Eusebio R C P, et al.Analyzing barriers for implementing industrial symbiotic networks using DEMATEL[J]. Sustainable Production&Consumption, 2016, 7:57-65.
[2] Huang C Y, Chang Y N, Lu H H, et al. Evaluating the electronic service quality of group buying websites by using the DEMATEL based network process[C]//International Conference on Applied System Innovation.IEEE, 2016:1-4.
[3] Wu W W. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach[J]. Expert Systems with Applications, 2008, 35(3):828-835.
[4]Grazynaゥska. Wind energy and multi-criteria analysis in making decisions on the location of wind farms[J]. Procedia Engineering, 2017, 182:418-424.
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[6]常启军,王璐,金虹敏.基于DEMATEL与ISM的内部控制创新研究[J].会计之友,2016(8):80-85.
[7] Yin S H. Application of DEMATEL,ISM,and ANP for key success factor(KSF)complexity analysis in R&D alliance[J]. Scientific Research&Essays, 2012, 7(19):1872-1890.
[8]吴彪,许洪国,戴彤焱.基于DEMATEL-ISM的高速公路作业区交通安全影响因素辨识[J].交通运输系统工程与信息,2010, 10(5):130-136.
[9] Michnik J. Weighted Influence Non-linear Gauge System(WINGS)-An analysis method for the systems of interrelated components[J]. European Journal of Operational Research, 2013, 228(3):536-544.
[10] Alon U, Barkai N, Notterman D A,et al.Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays[J]. Proceedings of the National Academy of Sciences of the United States of America, 1999, 96(12):6745.
[11]宋东林,孙娟.基于R型聚类的知识产权强省评价指标体系构[J].建科技与管理,2017, 19(2):16-22.
[12] Talavera E, Dimiccoli M, Bolanos M, et al. R-Clustering for egocentric video segmentation[C]//IbPRIA:Iberian Conference on Pattern Recognition and Image Analysis. 2015.
[13]李伟,张淼,蔡影.基于聚类分析的隧道健康评价[J].西华大学学报(自然科学版),2017, 36(2):106-112.
[14] Bendechache M, Kechadi M. Distributed clustering algorithm for spatial data Mining[J]. 2018:60-65
[15]方开泰.聚类分析(I)[J].数学的实践与认识,1982, 12(2):55-63.
[16]孙吉贵,刘杰,赵连宇.聚类算法研究[J].软件学报,2008, 19(1):48-61.
[17]张雅杰,张俊玲,杨洋,等.层次聚类分析法在连州市土地利用分区中的应用[J].国土资源科技管理,2007,24(5):71-76.
[18]许燕宏.基于R型聚类的医药企业竞争力典型影响因素挖掘研究[J].河北企业,2016(7):110-111.
[2] Huang C Y, Chang Y N, Lu H H, et al. Evaluating the electronic service quality of group buying websites by using the DEMATEL based network process[C]//International Conference on Applied System Innovation.IEEE, 2016:1-4.
[3] Wu W W. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach[J]. Expert Systems with Applications, 2008, 35(3):828-835.
[4]Grazynaゥska. Wind energy and multi-criteria analysis in making decisions on the location of wind farms[J]. Procedia Engineering, 2017, 182:418-424.
[5] Pandey A, Kumar A. Commentary on “Evaluating the criteria for human resource for science and technology(HRST)based on an integrated fuzzy AHP and fuzzy DEMATEL approach”[J]. Applied Soft Computing, 2017, 51:351-352.
[6]常启军,王璐,金虹敏.基于DEMATEL与ISM的内部控制创新研究[J].会计之友,2016(8):80-85.
[7] Yin S H. Application of DEMATEL,ISM,and ANP for key success factor(KSF)complexity analysis in R&D alliance[J]. Scientific Research&Essays, 2012, 7(19):1872-1890.
[8]吴彪,许洪国,戴彤焱.基于DEMATEL-ISM的高速公路作业区交通安全影响因素辨识[J].交通运输系统工程与信息,2010, 10(5):130-136.
[9] Michnik J. Weighted Influence Non-linear Gauge System(WINGS)-An analysis method for the systems of interrelated components[J]. European Journal of Operational Research, 2013, 228(3):536-544.
[10] Alon U, Barkai N, Notterman D A,et al.Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays[J]. Proceedings of the National Academy of Sciences of the United States of America, 1999, 96(12):6745.
[11]宋东林,孙娟.基于R型聚类的知识产权强省评价指标体系构[J].建科技与管理,2017, 19(2):16-22.
[12] Talavera E, Dimiccoli M, Bolanos M, et al. R-Clustering for egocentric video segmentation[C]//IbPRIA:Iberian Conference on Pattern Recognition and Image Analysis. 2015.
[13]李伟,张淼,蔡影.基于聚类分析的隧道健康评价[J].西华大学学报(自然科学版),2017, 36(2):106-112.
[14] Bendechache M, Kechadi M. Distributed clustering algorithm for spatial data Mining[J]. 2018:60-65
[15]方开泰.聚类分析(I)[J].数学的实践与认识,1982, 12(2):55-63.
[16]孙吉贵,刘杰,赵连宇.聚类算法研究[J].软件学报,2008, 19(1):48-61.
[17]张雅杰,张俊玲,杨洋,等.层次聚类分析法在连州市土地利用分区中的应用[J].国土资源科技管理,2007,24(5):71-76.
[18]许燕宏.基于R型聚类的医药企业竞争力典型影响因素挖掘研究[J].河北企业,2016(7):110-111.