Tourism demand forecasting using novel hybrid system

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Forecasting,Tourism demand,Fuzzy c-means,Least-squares support vector regression,Genetic algorithms

论文评审过程：Available online 8 December 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.12.007