Soft Computing implementation in Tourism Sector: A review

Abstract

The Corona virus epidemic has had numerous detrimental repercussions on the tourism industry. Domestic production and trade have been impeded by the global epidemic and the mitigation efforts implemented when the disease broke out, according to the World Health Organization in particular. The current study looks at how neural networks and soft computing techniques can help provide accurate and effective predictions for the tourism industry, preventing future losses. The study will compare a number of strategies and procedures in order to determine the most successful technology in the tourism industry.