This paper provides a novel and better understanding of the performance potential of a nonsingleton (NS) fuzzy system over a singleton (S) fuzzy system. It is done by extending sculpting the state space works from S to NS fuzzification and demonstrating uncertainties about measurements, modeled by NS fuzzification: first, fire more rules more often, manifested by a reduction (increase) in the sizes of first-order rule partitions for those partitions associated with the firing of a smaller (larger) number of rulesthe coarse sculpting of the state space; second, this may lead to an increase or decrease in the number of type-1 (T1) and interval type-2 (IT2) first-order rule partitions, which now contain rule pairs that can never occur for S fuzzification-a new rule crossover phenomenon-discovered using partition theory; and third, it may lead to a decrease, the same number, or an increase in the number of second-order rule partitions, all of which are system dependentthe fine sculpting of the state space. The authors' conjecture is that it is the additional control of the coarse sculpting of the state space, accomplished by prefiltering and the max-min (or max-product) composition, which provides an NS T1 or IT2 fuzzy system with the potential to outperform an S T1 or IT2 system when measurements are uncertain. Index Terms-Interval type-2 (IT2) fuzzy system, nonsingleton (NS) fuzzifier, rule partitions, sculpting the state space, type-1 (T1) fuzzy system. I. INTRODUCTIONR ECENTLY, Mendel [1], [2] has explained the performance potential of type-1 (T1), interval type-2 (IT2), and general type-2 rule based fuzzy systems (fuzzy systems, for short) as greater sculpting of the state space. All of this was done for rulebased fuzzy systems that use a singleton (S) fuzzifier.

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