Discussion of the logic underlying the fuzzy change matrix is extended in this chapter to incorporate a consideration of type 2 fuzzy sets. Type 2 sets are parameterized from the differences in fuzzy set membership yielded by multiple values of the fuzziness or overlap parameter of the wellknown fuzzy c-means classifier. Type 2 fuzzy sets can be seen as a response to the philosophical issue of higher order vagueness. It is shown that the type 2 analysis yields a variety of answers to any query about the amount of change, reflecting the higher order vagueness in the uncertainty of the change in a vague phenomenon.