Abstract
Rough set theory is developed in terms of fuzzy sets that will allow a decision maker to determine certain and possible rules. In the application presented these rules are determined for the decision to close a golf course when the number of rounds of golf to be played is anticipated to be low. Attributes having an effect on the number of rounds of golf to be played are statistically analyzed and those negative factors are selected for generating rules for closing. Furthermore, the degree of belief of the decision maker in these generated rules is determined to be directly related to statistical confidence intervals.
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