Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic
Information Sciences: an International Journal
Design of interval type-2 fuzzy sliding-mode controller
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
Refinement geometric algorithms for type-2 fuzzy set operations
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
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Computing the centroid of a type-2 fuzzy set (T2 FS) is an important operation for such sets. For an interval T2 FS, the centroid can be computed by using two iterative procedures that were developed by Karnik and Mendel [2]. In this paper, we prove that if the footprint of uncertainty for an interval T2 FS is symmetrical about the primary variable y at y = m, then the centroid is also symmetrical about y = m and its defuzzified value equals m. As a consequence of this, computation of the centroid for such a T2 FS is reduced by 50%, and the importance of obtaining a non-symmetrical interval T2 FS prior to defuzzification is demonstrated.