Journal of Tourism & Hospitality
Open Access

Abstract

The Application of Rough Sets to Spectacle Cost in Japan

Saman Hazrati

The existing tourism need anticipating models in tourism are unable to receive useful information from a database with numeric and nonnumeric data. The present research discusses a new approach that applies the rough set theory to shape an anticipating model for supervising expenses in Japan. The rough set theory presents the classificatory analysis of ambiguous, uncertain, or incomplete knowledge (data) by containing the traditional set theory. Based on officially published tourist supervising information, decision principles are created to display the relationships among the independent variables and the dependent variable. Experimental results suggest that the anticipating model can systemize 91.1% of the testing cases, and that 82.5% of the systemized cases were the same as their real counterparts. There was no major difference between the real values and the anticipate values. The advantages of utilising decision principles induced by rough set to anticipate supervising expenses were also suggested.