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基于粗糙集的轨道交通换乘枢纽灰色聚类评价 被引量:4

Grey Clustering Evaluation of Mass Transit Transfer Hub Based on Rough-Set Theory
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摘要 评价轨道交通换乘枢纽的布局优劣、运营状况、服务水平,进而优化规划方案,给出5项评价指标,运用基于粗糙集理论的权系数确定方法,建立关系数据模型,通过计算灰色聚类分析模型的权系数的方法对轨道交通换乘枢纽进行评价,并结合实例说明方法的可行性。 In order to evaluate the layout, operation and service level of mass transit transfer hub and to optimize planning schemes, the essay presents five evaluation indices. The relation data model is established by using the method of determining weighting coefficient based on rough set theory. Through calculating the weighting coefficient of the gray clustering model, the essay evaluates the mass transit transfer hub, and explains the feasibility of this method with actual cases.
出处 《铁道运输与经济》 北大核心 2007年第3期49-51,共3页 Railway Transport and Economy
基金 四川省科技厅资助项目(032R025-013)
关键词 轨道交通 换乘枢纽 粗糙集 权重系数 灰色聚类评价 mass transit transfer hub fuzzy set weighting coefficient gray clustering evaluation
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  • 1[1]Infield D G, Hill D C. Optimal smoothing for trend removal in short-term electricity demand forecasting[J]. IEEE Trans Power Systems, 1998, 13(3): 1115-1120.
  • 2[2]Mbamalu G A N, El-Hawary M E. Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighed least squares estimation[J]. IEEE Trans Power System, 1993, 8(1): 343-348.
  • 3[3]Mori H, Kobayashi H. Optimal fuzzy inference for short-term load forecasting[J]. IEEE Transactions on Power Systems, 1996, 11(1): 390-396.
  • 4[6]Nahi Kandil, Vijay Sood, Maarouf Saad. Use of ANNs for Short-term Load Forecasting[A]. Canadian Conference on Electrical and Computer Engineering Edmonton[C]. Alberta(Can), 1999. 1057-1061.
  • 5[7]Papadkis S E, Thoecharis J B, Kiartzis S J, et al. A novel approach to short-term load forecasting using fuzzy neural networks[J]. IEEE Transactions on Power Systems, 1998, 13(2): 480-489.
  • 6[9]Vermaak J, Botha E C. Recurrent neural networks for short-term load forecasting[J]. IEEE Trans Power Systems, 1998, 13(1): 126-132.
  • 7[10]Pawlak Z. Rough set[J]. International Journal of Computer Information Sciences, 1982, 11(5): 342-356.
  • 8[11]Salvatore Greco, Benedetto Matarazzo, Roman Slowinski. Rough sets theory for multicriteria decision analysis[J]. European Journal of Operational Research, 2001, 28(1): 1-47.
  • 9[12]Pawlak Z. Rough set theory and its applications to data analysis[J]. Cybernetics and Systems, 1998, 29: 661-688.
  • 10周平,杨岚,周家启.电力系统负荷灰色预测的新方法[J].电力系统及其自动化学报,1998,10(3):45-50. 被引量:35

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