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

作者：Korol Tomasz^*; Fotiadis Anestis

来源：International Journal of Information Technology and Decision Making, 2016, 15(6): 1451-1468.

DOI：10.1142/S0219622016500425

• Fuzzy logic
• forecasting
• theme park
• customer behavior
• visitor expenditure
• tourism management

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.

• 出版日期2016-11