Abstract
Traditional hospitality research on relationship modeling has concentrated on mathemati cal functions. A major restriction of mathematical function-based modeling techniques is their inability to handle non-numeric data. This article presents a new approach that ap plies rough set theory to model the relations within a set of numeric and non-numeric hotel expenditure data. The output of relationship modeling from a rough set approach is a set of decision rules. A hospitality information table was established, using data from the Hong Kong Tourist Association in the period 1983 to 1996. Among the 82 entries in the estab lished information table, 65 were used to induce decision rules to model the data relation ship, and the remainder were used to test accuracy by comparing actual and forecasted ho tel expenditures. Empirical results indicated that 75% of the classified forecasting samples fell into the same categories as their actual counterparts, and there was no significant dif ference between the actual and forecasted data.
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