Tourism demand forecasting using novel hybrid system
We developed a novel hybrid system for accurately forecasting tourism demand. The hybrid system effectively improves previous method by preprocess mechanisms. Empirical results indicate that the proposed hybrid system has superior performance.
tourism demand forecasting fuzzy c-means least-squares support vector regression genetic algorithms