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• W2515406039 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." @default.
• W2515406039 created "2016-09-16" @default.
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• W2515406039 date "2016-11-01" @default.
• W2515406039 modified "2023-10-06" @default.
• W2515406039 title "Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks" @default.
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• W2515406039 doi "https://doi.org/10.1142/s0219622016500425" @default.
• W2515406039 hasPublicationYear "2016" @default.
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