Forecasting East Asian Tourist Arrivals to Thailand with Adaptive Neuro-Fuzzy Inference System
Chawalsak Phetchanchai, Chuthawuth Chantaramalee, Napatsarun Chatchawalanont, Piyapong Phatcha · Global Journal of Engineering and Technology Review · 2019
Objective - This research aims to propose the approach of forecasting tourist arrivals to Thailand. Methodology/Technique – Adaptive Neuro-Fuzzy Inference System (ANFIS) was used as our forecasting method by using fuzzy C-means clustering as a technique for the partitioning training dataset Findings - The appropriate parameter of time lag was found for each dataset of East Asian tourist arrivals to Thailand. Novelty - The forecasting procedure with the appropriate parameter of time lag was represented our work as a novelty idea. Type of Paper: Empirical. Keywords: Tourist arrivals forecasting, East Asian countries, adaptive neuro-fuzzy inference system, fuzzy C-means clustering, Takagi–Sugeno fuzzy inference system.