Fuzzy sets allow for gradual membership of elements in a set, rather than binary membership as in classical set theory. Membership is described on a scale of 0 to 1 using a membership function. Fuzzy sets generalize classical sets by treating classical sets as special cases where membership values are restricted to 0 or 1. Fuzzy set theory can model imprecise or uncertain information and is used in domains like bioinformatics. Examples of fuzzy sets include sets like "tall people" where membership in the set is a matter of degree.