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Forecasting the success of a new tourism service by a neuro-fuzzy technique

Author

Listed:
  • George S. Atsalakis

    (Technical University of Crete [Chania])

  • Ioanna G. Atsalaki

    (Technical University of Crete [Chania])

  • Constantin Zopounidis

    (Technical University of Crete [Chania], Audencia Business School)

Abstract

No abstract is available for this item.

Suggested Citation

  • George S. Atsalakis & Ioanna G. Atsalaki & Constantin Zopounidis, 2018. "Forecasting the success of a new tourism service by a neuro-fuzzy technique," Post-Print hal-02879866, HAL.
    • Handle: RePEc:hal:journl:hal-02879866
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    Cited by:

    1. Abdul Aziz Bin Karia, 2021. "Are there any turning points for external debt in Malaysia? Case of adaptive neuro-fuzzy inference systems model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    2. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    3. Li, Xingyu & Epureanu, Bogdan I., 2020. "AI-based competition of autonomous vehicle fleets with application to fleet modularity," European Journal of Operational Research, Elsevier, vol. 287(3), pages 856-874.
    4. Abdelaziz El Shinawi & Rehab Ali Ibrahim & Laith Abualigah & Martina Zelenakova & Mohamed Abd Elaziz, 2021. "Enhanced Adaptive Neuro-Fuzzy Inference System Using Reptile Search Algorithm for Relating Swelling Potentiality Using Index Geotechnical Properties: A Case Study at El Sherouk City, Egypt," Mathematics, MDPI, vol. 9(24), pages 1-13, December.
    5. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.

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