The neutrosophic fuzzy sets (NFS) for the first time introduced by (Smarandache in Neutrosophy Neutrosophic Probability: Set, and Logic, American Research Press, Rehoboth, pp. 12–20, [1]), (Smarandache in Infinite Study, [2]). A neutrosophic fuzzy set in addition to the membership and non-membership degrees of an event, uses the neutral degree of the event for describing more uncertain and vague situations. In the case of neutrosophic fuzzy sets, for a set, truth-membership function, indeterminacy-membership function, and falsity-membership function are defined. It can be widely used for cases where the evaluations are determined by the experts. As an example, for a claim, an expert may believe that it can be “true”, “no opinion”, and “wrong”. In such cases, the neutrosophic fuzzy sets can be applied to model the uncertain event.