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Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach Cover

Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach

Transport and Telecommunication Journal
Volume 23 (2022): Issue 2 (April 2022)
By:  and    
Open Access
|Apr 2022
Authors

Authors

Panarat Srisaeng

panarat_sri@dusit.ac.th

School of Tourism and Hospitality Management, Suan Dusit University Huahin Prachaup Khiri Khan, Thailand

Glenn Baxter

g_glennbax@dusit.ac.th

School of Tourism and Hospitality Management, Suan Dusit University Huahin Prachaup Khiri Khan, Thailand
DOI: https://doi.org/10.2478/ttj-2022-0013 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 151 - 159
Published on: Apr 30, 2022
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
adaptive neuro-fuzzy inference system (ANFIS),
Australia,
forecasting methods,
domestic airlines,
passenger forecasting
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2022 Panarat Srisaeng, Glenn Baxter, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 23 (2022): Issue 2 (April 2022)
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