A resource optimized allocation method of multi-level complex system

被引：0
|
作者：
Ma Z. [1 ]
Cao L. [2 ,3 ]
Bao S. [4 ]
机构：
[1] School of Economics and Management, Inner Mongolia University, Hohhot
[2] School of Mathematics Science, Inner Mongolia University, Hohhot
[3] College of Computer and Information, Inner Mongolia Medical University, Hohhot
[4] School of Science, Inner Mongolia University of Technology, Hohhot
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2018年 / 38卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Comprehensive evaluation; Data envelopment analysis; Integration of index; Multi-objective decision-making; Sample unit;
D O I：
10.12011/1000-6788(2018)07-1802-17
中图分类号：
学科分类号：
摘要：
Data envelopment analysis (DEA) is an important efficiency evaluation method, and it is especially suitable for analyzing the complex systems. However, DEA method also has some disadvantages that cannot be overcome in practical application because of the complexity of index system. It mainly shows in the following aspects. Firstly, the evaluation result may excessively emphasize the secondary index function. Secondly, it often appears that most units are effective. Thirdly, the requirement to projection is too high. Fourthly, It can’t find the improvement information for the original indexes. In order to solve above problem, a data envelopment analysis model for evaluating complex systems is given. The meaning of DEA efficiency, properties and solving method of this model are also discussed. By the comparison of examples, it can be found that the above model not only has the advantages of the traditional DEA method, but also overcomes the shortcomings of the traditional method © 2018, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：1802 / 1818
页数：16
相关论文
共 36 条
  • [1] Charnes A., Cooper W.W., Rhodes E., Measuring the efficiency of decision making units, European Journal of Operational Research, 6, 2, pp. 429-444, (1978)
  • [2] Wei Q.L., Yu G., Lu S.J., The necessary and su?cient conditions for returns to scale properties in generalized data envelopment analysis models, Science in China (Series E), 45, 5, pp. 503-517, (2002)
  • [3] Banker R.D., Charnes A., Cooper W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30, 9, pp. 1078-1092, (1984)
  • [4] Fare R., Grosskopf S., A nonparametric cost approach to scale e?ciency, Scandinavian Journal of Economics, 87, 4, pp. 594-604, (1985)
  • [5] Seiford L.M., Thrall R.M., Recent development in DEA. The mathematical programming approach to frontier analysis, Journal of Economics, 46, 1-2, pp. 7-38, (1990)
  • [6] Asmilda M., Paradib J.C., Pastorc J.T., Centralized resource allocation BCC models, International Journal of Management Science, pp. 1-10, (2006)
  • [7] Lozano S., Villa G., Centralized resource allocation using data envelopment analysis, Journal of Productivity Analysis, 22, pp. 143-161, (2004)
  • [8] Liang L., Yang F., Cook W.D., Et al., DEA models for supply chain e?ciency evaluation, Annals of Operations Research, 145, pp. 35-49, (2006)
  • [9] Ma Z.X., Ren H.L., An evaluation method based on some sample units and its applying on FSA, Systems Engineering — Theory and Practice, 23, 2, pp. 95-101, (2003)
  • [10] Ma Z.X., Frontier that formed by some sample units and its applying, Systems Engineering — Theory and Practice, 23, 12, pp. 32-37, (2003)
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