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Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks

Author

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  • Tomasz Korol

    (Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland)

  • Anestis Fotiadis

    (Entertainment Management Department, International College, I-Shou University, Kaohsiung, Taiwan)

Abstract

This study analyzes two forecasting models based on the application of fuzzy logic and evaluates their effectiveness in predicting visitor expenditure and length of stay at a popular theme park. The forecasting models are based on a set of more than 600 decision rules constructed in the form of a complex series of IF-THEN statements. These algorithms store expert knowledge. A descriptive instrument that records the individual visitor’s time spent and expenditure distribution on activities in the E-Da World in Taiwan was used to gather data. From a process of rigorous verification, the models developed are characterized by a high level of accuracy and efficiency.

Suggested Citation

  • Tomasz Korol & Anestis Fotiadis, 2016. "Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1451-1468, November.
    • Handle: RePEc:wsi:ijitdm:v:15:y:2016:i:06:n:s0219622016500425
    DOI: 10.1142/S0219622016500425
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    References listed on IDEAS

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    Cited by:

    1. Vlasic, Dubravka & Poldrugovac, Katarina & Jankovic, Sandra, 2019. "The Competitive pricing in marina business: Exploring relative price position and price fluctuation," MPRA Paper 93519, University Library of Munich, Germany.
    2. Dubravka Vlasic & Katarina Poldrugovac & Sandra Jankovic, 2019. "The Competitive pricing in marina business: Exploring relative price position and price fluctuation," Post-Print hal-02458440, HAL.
    3. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 867-899, May.
    4. Tomasz Korol & Anestis K. Fotiadis, 2022. "Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 407-438, June.

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