On the Application of Artificial Intelligence Methods in Tourism Forecast and Its Comment and Analysis
Yin Shu-lu · Luyou xuekan · 2008
Prior to 1990s,traditional quantitative analysis method was generally applied in tourism forecast for demand.But in the past twenty years,such artificial intelligence methods as rough sets,genetic algorithms,fuzzy time series, grey theory,artificial neural networks and vector machines have been introduced into the study of tourism forecast.However,scholars both at home and abroad have not had any systematic comment on it.Accordingly,the paper tries to give a brief introduction to the application of artificial intelligence method in tourism forecast and compare it with the traditional measuring method and time series method.Meanwhile,its strong and weak points as well as developing trend are briefly commented.