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 veriffication, the models developed are characterized by a high level of accuracy and efficiency.
Authors
- dr hab. inż. Tomasz Korol link open in new tab ,
- Anestis Fotiadis
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1142/s0219622016500425
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2016