Forecasting East Asian Tourist Arrivals to Thailand with Adaptive Neuro-Fuzzy Inference System

Chawalsak Phetchanchai, Chuthawuth Chantaramalee, Napatsarun Chatchawalanont, Piyapong Phatcha


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 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.

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