Have a personal or library account? Click to login
Air passengers forecasting for Australian airline based on hybrid rough set approach Cover

Air passengers forecasting for Australian airline based on hybrid rough set approach

By: H. Kumar Sharma,  K. Kumari and  S. Kar  
Open Access
|Jun 2018

References

  1. Au, N. and Law, R. (2000). The application of rough sets to sightseeing expenditures, Journal of Travel Research, 39(1), 70-77.10.1177/004728750003900109
  2. Australian Bureau of Statistics (2013a). Overseas arrivals and departures, Australia. Available at: http://www.abs.gov.au (accessed 10 November 2014).
  3. Australian Bureau of Statistics (2013b). Airport traffic statistics. Available at: http://www.abs.gov.au (accessed 10 November 2014).
  4. Australian Bureau of Statistics (2013c). Gross state product, chain volume measures and current prices. Available at: http://www.abs.gov.au (accessed 10 November 2014).
  5. Apergis N A, Mervar A and Payne JE (2017). Forecasting disaggregated tourist arrivals in Croatia: Evidence from seasonal univariate time series models. Tourism Economics 23(1): 78-98.10.5367/te.2015.0499
  6. Chen, M,-Y., Chen, B,-T. (2014). Online fuzzy time series analysis based on entropy discretization and a Fast Fourier Transform, Applied Soft Computing. 14(B), 156-16610.1016/j.asoc.2013.07.024
  7. Cho V (2003). A comparison of three different approaches to tourist arrival forecasting. Tourism Management 24(3): 323-330.10.1016/S0261-5177(02)00068-7
  8. Coshall J (2006). Time series analysis of UK outbound travel by air. Journal of Travel Research 44(3): 335-347.10.1177/0047287505279003
  9. Cheng, C. H., Chen, T. L. and Wei, L. Y. (2010). A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting. Information Sciences. 180, 1610-1629.10.1016/j.ins.2010.01.014
  10. Celotto, E., Ellero, A. and Ferretti, P. (2012). Short-medium term tourist services demand Forecasting with rough ret theory, Procedia Economics, and Finance, 3, 62-67.10.1016/S2212-5671(12)00121-9
  11. Deng, J. (1982). Control problems of Grey systems. Systems and Control Letters. 1(1), 288-294.10.1016/S0167-6911(82)80025-X
  12. Faustino, P.C., Pinheiro, A.C., Carpinteiro, A.O. and Lima, I., (2011). Time series forecasting through rulebased models obtained via rough sets. Artif Intell Rev. 36, 299-310.10.1007/s10462-011-9215-0
  13. Goh, C., Law, R. (2003). Incorporating the rough sets theory into travel demand analysis. Tourism Management. 24, 511-517.10.1016/S0261-5177(03)00009-8
  14. Holt, C. C. (1957). Forecasting seasonals and trends by exponentially weighted moving averages. Pittsburgh PA: Carnegie Institute of Technology.
  15. Hsu, C. I., Wen, Y. H. (1998). Improved Grey prediction models for the trans-pacific air passenger market. Transportation Planning and Technology. 22, 87-107.10.1080/03081069808717622
  16. Law, R. and Au, N. (1998). A rough set approach to hotel expenditure decision rules induction, Journal of Hospitality and Tourism Research, 22(4), 359-375.10.1177/109634809802200403
  17. Law R and Au N (1999). A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management 20(1): 89-97.10.1016/S0261-5177(98)00094-6
  18. Lee, C,-C., Wan, T.-J., Kuo, C.-Y., Chung, C.-Y. (2007). Modified Grey Model for Estimating Traffic Tunnel Air Quality, Environmental Monitoring and Assessment, 132(1-3): 351-364.10.1007/s10661-006-9539-4
  19. Lim C and McAleer M (1999). A seasonal analysis of Malaysian tourist arrivals to Australia. Mathematics and Computers in Simulation 48(6): 573-583.10.1016/S0378-4754(99)00038-5
  20. Law, R. and Au, N. (2000). Relationship modeling in tourism shopping: a decision rules induction approach, Tourism Management, 21(3), 241-249.10.1016/S0261-5177(99)00056-4
  21. Law R. (2000). Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting. Tourism Management 21(4): 331-340.10.1016/S0261-5177(99)00067-9
  22. Lim C and McAleer M (2001). Monthly seasonal variations: Asian tourism to Australia. Annals of Tourism Research 28(1): 68–82.10.1016/S0160-7383(00)00002-5
  23. Lim C and McAleer M (2002) Time series forecasts of international travel demand for Australia. Tourism Management 23(4): 389-396.10.1016/S0261-5177(01)00098-X
  24. Lin, L. (2010). Study on the evaluation of tourist satisfaction in tourism destination based on variable precision rough set, International Conference On Computer Design and Applications, 1, 124-128.
  25. Li, J., Feng, L., and Zhou, G. (2011). Travel demand prediction in Tangshan City of China based on rough set, Springer-Verlag Berlin Heidelberg, 440-446.10.1007/978-3-642-25255-6_56
  26. Liou, J. J. H., Chuang, Y. C., Hsu, C. C. (2016). Improving airline service quality based on rough set theory and flow graphs. Journal of Industrial and Production Engineering. 33(2), 123-133.10.1080/21681015.2015.1113571
  27. Li, J., Feng, L., Zhou, G. (2011). Travel demand prediction in Tangshan City of China based on rough set, Springer-Verlag Berlin Heidelberg, 440-446.10.1007/978-3-642-25255-6_56
  28. Martin A and Witt F (1989). Forecasting tourism demand: A comparison of the accuracy of several quantitative methods. International Journal of Forecasting 5. 1-13.10.1016/0169-2070(89)90059-9
  29. Mahapatra, S., Sreekumar, S. S. (2010). Attribute selection in marketing: A rough set approach. IIMB Management Review. 22, 16-24.10.1016/j.iimb.2010.03.001
  30. Nassiri, H., Rezaei, A. (2012). Air itineracy choice in a low-frequency market: A decision rule approach. Journal of Air Transport Management. 18, 34-37.10.1016/j.jairtraman.2011.08.001
  31. Nguyen L T, Shu, HM, Huang, FY and Hsu M. B. (2013). Accurate forecasting models in predicting the inbound tourism demand in Vietnam. Journal of Statistics and Management Systems 16(1): 25-43.10.1080/09720510.2013.777570
  32. Pal, S. S., & Kar, S. (2017).Time series forecasting using fuzzy transformation and neural network with back propagation learning, Journal of Intelligent & Fuzzy Systems, 33 (1): 467 - 477.10.3233/JIFS-161767
  33. Pawlak, Z. (1982). Rough sets. International Journal of Computer and Information Science. 11, 341-356.10.1007/BF01001956
  34. Predki, B., Wong, S. K. M., Stefanowski, J., Susmaga, R., Wilk, Sz., (1998). ROSE-software implementation of the rough set theory. In L. Pollkowski, A. Skowron (Eds.). Rough Sets and Current Trends in Computing. Lecture Notes in Artificial Intelligence. Berlin: Springer. 605-608.10.1007/3-540-69115-4_85
  35. Software R, version R-3.0.3. https://cran.r-project.org/bin/windows/base/old/3.0.3/
  36. Samagaio, A., Wolters, M. (2010). Comparative analysis of government forecasts for the Lisbon Airport. Journal of Air Transport Management. 16, 213-217.10.1016/j.jairtraman.2009.09.002
  37. Sharma, H. K., & Kar, S. (2018). Decision Making for Hotel Selection using Rough Set Theory: A case study of Indian Hotels. International Journal of Applied Engineering Research, 13(6), 3988-3998.
  38. Tsui W. H. K. and Balli F. (2016). International arrivals forecasting for Australian airports and the impact of tourism marketing expenditure Tourism Economics 1-26.10.5367/te.2015.0507
  39. Xie, G., Wang, S., Lai, K. K. (2014). Short-term forecasting of air passenger by using hybrid seasonal decomposition and least squares support vector regression approaches. Journal of Air Transport Management. 37, 20-2610.1016/j.jairtraman.2014.01.009
  40. Xiaoya, H. and Zhiben, J. (2011). Research on econometric model for domestic tourism income based on rough set, Springer, 259-266.10.1007/978-3-642-23998-4_37
  41. Zhou, Z, J., Hu, C. H. (2008). An effective hybrid approach based on Grey and ARMA for forecasting gyro drift. Chaos, Solitons & Fractals. 35, 525-529.10.1016/j.chaos.2006.05.039
DOI: https://doi.org/10.2478/jamsi-2018-0001 | Journal eISSN: 1339-0015 | Journal ISSN: 1336-9180
Language: English
Page range: 5 - 18
Published on: Jun 19, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2018 H. Kumar Sharma, K. Kumari, S. Kar, published by University of Ss. Cyril and Methodius in Trnava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.