Forecasting East Asian Tourist Arrivals to Thailand with Adaptive Neuro-Fuzzy Inference System-Reference-Cited by-同舟云学术

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

Published:2019-02-19 Issue:1 Volume:4 Page:1-8
ISSN:0128-2905
Container-title:Global Journal of Engineering and Technology Review Vol.4 (1) January-March. 2019
language:en
Short-container-title:Global J. Eng. Tec. Review

Author:

Phetchanchai Chawalsak¹,Chantaramalee Chuthawuth¹,Chatchawalanont Napatsarun¹,Phatcha Piyapong²

Affiliation:

1. Computer Science Program, Suan Dusit University,10300, Bangkok, Thailand

2. Master of Business Administration Program, Rajabhat Rajanagarindra University, Chachoengsao Province, Thailand

Abstract

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.

Publisher

Global Academy of Training and Research (GATR) Enterprise

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