Type selection decision of urban rail transit system based on evidence theory

被引：0
作者：
Zhao S.-Z. [1 ]
Cao Y. [1 ]
Tian Q.-F. [1 ]
机构：
[1] Transportation College of Jilin University
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2011年 / 33卷 / 12期
关键词：
Conflicting evidence combination; D-S evidence theory; System type selection; Urban rail transit;
D O I：
10.3969/j.issn.1001-8360.2011.12.003
中图分类号：
学科分类号：
摘要：
The reasoning method and combination rules of the D-S evidence theory are introduced. Because of the limitation that the D-S evidence theory can not make up the conflicting evidence, this paper discusses the combination rules of urban rail transit system type selection and proposes the method of conflicting evidence combination applied after transfer pretreatment of basic probability assignment. The type selection decision model of the urban rail transit system is developed on the basis of the D-S evidence theory and is solved with the conflicting evidence combination method. Combining with seven selected indexes of city, which describe the cities with constructed urban rail transit systems, fusion decision is made for type selection of the urban rail transit system of Jinan. The result shows that the model can play the role of support for type selection decision of urban rail transit systems.
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页码：15 / 20
页数：5
相关论文
共 7 条
  • [1] (2006)
  • [2] Dubois D., Prade H., Representation and combination of uncertainty with belief functions and possibility measures, Computational Intelligence, 4, pp. 244-264, (1988)
  • [3] Yager R., On the relationships of methods of aggregation of evidence in experts systems, Cybernetics and Systems, 16, pp. 1-21, (1985)
  • [4] Smets P., The combination of evidence in the transferable belief model, IEEE Trans. PAMI, 12, 5, pp. 477-458, (1990)
  • [5] Lefevre E., Colot O., Vannnoorenberghe P., Belief functions combination and conflict management, Information Fusion, 3, 2, pp. 149-163, (2002)
  • [6] Lefevre E., Colot O., Vannnoorenberghe P., Reply to the comments of R. haenni on the paper: Belief functions combination and conflict management, Information Fusion, 4, 1, pp. 63-65, (2003)
  • [7] (2009)
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