PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC

Liu Mei, Li Jing, Kang Shu

2011

Abstract

Travelling choice about high-speed rail is very important to improve the level of management. The paper put forward a prediction model based on fuzzy logic to predict the choices of the travelers , after compared several methods. Then , combined with the survey data and the training and testing of the model , we determined a effective model with fuzzy rules. The inspection findings of the model indicate that the choice result predicated by the model based on fuzzy logic and the actual choice very close. Therefore, the prediction method based on fuzzy logic is feasible. In addition, we put forward the concept of improving factor, to provide reasonable proposals about how to improve the services and management quality of the high-speed way.

References

  1. Wu Qun -qi, Xu Xing. Mechanism research on travelling choices of passengers. Journal of Chang'an University (Social Science Edition) [N].2007,9(2) :13-16.
  2. Wu Qun -qi, Xu Xing. Mechanism research on travelling choices of passengers. Journal of Chang'an University (Social Science Edition) [N].2007,9(2) :13-16.
  3. Chen Zhang-ming, Ji Xiao-feng. Study on Features of Railway Passengers' Travel Activities. Railway Transport and Economy[J].2008,30(11): 23-25.
  4. Chen Zhang-ming, Ji Xiao-feng. Study on Features of Railway Passengers' Travel Activities. Railway Transport and Economy[J].2008,30(11): 23-25.
  5. Gong Gu, Zhao Xiang-jun, Hao Guo-sheng, Chen Longgao. Study and Implementation of Genetic Algorithm Based on Improvement of Search Space Partition. Journal Of Henan University9natural Science [J] 2009, 39 (6) :631-636.UNIVERSITY9NATURAL SCIENCE0 [J] 2009,39 (6) :631-636.
  6. Gong Gu, Zhao Xiang-jun, Hao Guo-sheng, Chen Longgao. Study and Implementation of Genetic Algorithm Based on Improvement of Search Space Partition. Journal Of Henan University9natural Science [J] 2009, 39 (6) :631-636.UNIVERSITY9NATURAL SCIENCE0 [J] 2009,39 (6) :631-636.
  7. Huey-Ming Lee. Generalization of the group decision making using fuzzy sets theory for evaluating the rate of aggregative risk in software development. Information Sciences,1999(113): 301- 311.
  8. Huey-Ming Lee. Generalization of the group decision making using fuzzy sets theory for evaluating the rate of aggregative risk in software development. Information Sciences,1999(113): 301- 311.
  9. The Development of the world's high-speed railway. Railway survey and design [j]. 2006,1: 54-56.
  10. The Development of the world's high-speed railway. Railway survey and design [j]. 2006,1: 54-56.
  11. Zadeh, L. A., Fuzzy sets. Information and Control 1965,12 (2):94-102.
  12. Zadeh, L. A., Fuzzy sets. Information and Control 1965,12 (2):94-102.
  13. Voula C. Georgopoulos, Chrysostomos D. Stylios Complementary case: based reasoning and competitive fuzzy cognitive maps for advanced medical decisions. Soft Comput [J] (2008)12: 191-19.
  14. Voula C. Georgopoulos, Chrysostomos D. Stylios Complementary case: based reasoning and competitive fuzzy cognitive maps for advanced medical decisions. Soft Comput [J] (2008)12: 191-19.
  15. L. A. Zadeh. Fuzzy Sets as a Basis for Theory of Possibility. Fuzzy sets and Systems, 1978(1):3-28.
  16. L. A. Zadeh. Fuzzy Sets as a Basis for Theory of Possibility. Fuzzy sets and Systems, 1978(1):3-28.
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Paper Citation


in Harvard Style

Mei L., Jing L. and Shu K. (2011). PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-54-6, pages 163-166. DOI: 10.5220/0003477901630166


in Harvard Style

Mei L., Jing L. and Shu K. (2011). PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-54-6, pages 163-166. DOI: 10.5220/0003477901630166


in Bibtex Style

@conference{iceis11,
author={Liu Mei and Li Jing and Kang Shu},
title={PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2011},
pages={163-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003477901630166},
isbn={978-989-8425-54-6},
}


in Bibtex Style

@conference{iceis11,
author={Liu Mei and Li Jing and Kang Shu},
title={PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2011},
pages={163-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003477901630166},
isbn={978-989-8425-54-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC
SN - 978-989-8425-54-6
AU - Mei L.
AU - Jing L.
AU - Shu K.
PY - 2011
SP - 163
EP - 166
DO - 10.5220/0003477901630166


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - PASSENGER TRAVEL CHOICE PREDICITON BASED ON FUZZY LOGIC
SN - 978-989-8425-54-6
AU - Mei L.
AU - Jing L.
AU - Shu K.
PY - 2011
SP - 163
EP - 166
DO - 10.5220/0003477901630166