Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions
We deal with the problem of classifying interval type-2 fuzzy sets data. A generalized matching algorithm is introduced to compare interval type-2 fuzzy sets. The problem of evaluating the distinguishability of interval type-2 fuzzy sets is then addressed. The distinguishability of a collection of interval type-2 fuzzy sets is directly related to the obtained test set classification accuracy result. The methodology is applied to four different collections of interval type-2 fuzzy sets, elaborated from the same input data. Interesting experimental results are obtained which confirm the validity of the proposed method.
distinguishability of interval type-2 fuzzy sets interval type-2 fuzzy sets similarity and dissimilarity measures unconventional pattern classification