You can specify a degree of support, between 0 and 1, for each rule of a fuzzy system. The degree of support represents the relative significance of each rule and allows for fine-tuning of the rule base. In most cases, the degree of support is 1. The final weight of a rule is equal to the degree of support multiplied by the truth value of the aggregated rule antecedent.